CN110390096A - A kind of park evaluation method and device - Google Patents
A kind of park evaluation method and device Download PDFInfo
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Abstract
The embodiment of the invention provides a kind of park evaluation method, device, readable medium and electronic equipment, method includes: reception inquiry request, carries park information in inquiry request；Based on park information, corresponding description data are transferred from rating database, and are calculated by ID3 algorithm to obtain the evaluation data in corresponding park；Evaluation data are then based on, forecast analysis is carried out by the caffe model after training to obtain the appraisal report in corresponding park.The technical solution of the embodiment of the present invention, sample size is big, model can also be updated in evaluation procedure, efficiency, objectivity and the accuracy of park evaluation are improved on the whole, reduce workload, it has also been found that the problem of current construction of park and development, provide decision support for the construction in park.
Description
[technical field]
The present invention relates to field of environmental technology more particularly to a kind of park evaluation method and devices.
[background technique]
With social progress, the raising of expanding economy and people's eco-environmental evolvement, urban afforestation degree becomes weighing apparatus
The important indicator of urban sustainable development is measured, and construction of park is the important component of urban afforestation, how to be carried out to park
More objective appraisal can provide decision support for the construction in park.The evaluation of existing park be with on-the-spot investigation or
The mode of questionnaire survey carries out, and usual data sample capacity is smaller, causes evaluation result not accurate enough in this way, in addition the prior art
Larger workload, low efficiency and at high cost.
[summary of the invention]
In view of this, the embodiment of the invention provides a kind of park evaluation method, device, readable medium and electronic equipments.
In a first aspect, the embodiment of the invention provides a kind of park evaluation methods, comprising:
Inquiry request is received, carries park information in the inquiry request；
Based on the park information, corresponding description data are transferred from rating database, and are counted by ID3 algorithm
It calculates to obtain the evaluation data in corresponding park；
Based on the evaluation data, forecast analysis is carried out to obtain commenting for corresponding park by the caffe model after training
Valence report.
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, the description number
According to being stored in rating database in the following way:
Using in the park information park location information and park name as keyword, specified platform is crawled
To obtain initial data；
Based on the rating database, after the initial data is matched, counted and won, obtain including that landscape is set
The description data of situation, traffic accessibility and resident's satisfaction are applied, and are stored in rating database；
Wherein, in the rating database include three and be respectively used to storage Landscape Facilities situation, traffic accessibility and residence
The tag along sort of people's satisfaction and the table of descriptor, the tag along sort include five grades, and each grade includes several descriptions
Word.
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, it is described to pass through ID3
Algorithm is calculated to obtain the evaluation data in corresponding park, is specifically included:
Word frequency statistics are carried out to each descriptor in the description data by ID3 algorithm, according to the word frequency of each descriptor
Score of the corresponding park in terms of Landscape Facilities situation, traffic accessibility and resident's satisfaction three is calculated with preset weights,
To obtain the evaluation data in corresponding park.
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, the caffe mould
The training process of type specifically includes:
The evaluation data for inputting preset quantity park obtain caffe model after carrying out model training by SVM；Wherein,
The training objective of SVM are as follows:
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, the method is also
Include:
Acquire the blind spot information in each park evaluation procedure, and be stored in after blind spot screening the rating database with into
Row data update.
Second aspect, the embodiment of the invention provides a kind of park evaluating apparatus, comprising:
Receiving module carries park information in the inquiry request for receiving inquiry request；
Computing module transfers corresponding description data, and pass through for being based on the park information from rating database
ID3 algorithm is calculated to obtain the evaluation data in corresponding park；
Analysis module carries out forecast analysis by the caffe model after training for being based on the evaluation data to obtain
The appraisal report in corresponding park.
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, the description number
According to being stored in rating database in the following way:
Using in the park information park location information and park name as keyword, specified platform is crawled
To obtain initial data；
Based on the rating database, after the initial data is matched, counted and won, obtain including that landscape is set
The description data of situation, traffic accessibility and resident's satisfaction are applied, and are stored in rating database；
Wherein, in the rating database include three and be respectively used to storage Landscape Facilities situation, traffic accessibility and residence
The tag along sort of people's satisfaction and the table of descriptor, the tag along sort include five grades, and each grade includes several descriptions
Word.
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, the calculating mould
Block is specifically used for:
Word frequency statistics are carried out to each descriptor in the description data by ID3 algorithm, according to the word frequency of each descriptor
Score of the corresponding park in terms of Landscape Facilities situation, traffic accessibility and resident's satisfaction three is calculated with preset weights,
To obtain the evaluation data in corresponding park.
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, the caffe mould
The training process of type specifically includes:
The evaluation data for inputting preset quantity park obtain caffe model after carrying out model training by SVM；Wherein,
The training objective of SVM are as follows:
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, described device is also
Include:
Update module, for acquiring the blind spot information in each park evaluation procedure, and after blind spot screening described in deposit
Rating database is to carry out data update.
The third aspect, the present invention provides a kind of readable mediums, including execute instruction, when the processor of electronic equipment executes
Described when executing instruction, the electronic equipment executes the method as described in any in first aspect.
Fourth aspect, the present invention provides a kind of electronic equipment, comprising: processor, memory and bus；
The memory is executed instruction for storing, and the processor is connect with the memory by the bus, when
When the electronic equipment is run, the processor executes the described of memory storage and executes instruction, so that the processor
Execute the method as described in any in first aspect.
A technical solution in above-mentioned technical proposal has the following beneficial effects:
In the method for the embodiment of the present invention, firstly, receiving inquiry request, park information is carried in inquiry request；Then, base
In park information, corresponding description data are transferred from rating database, and are calculated by ID3 algorithm to obtain corresponding public affairs
The evaluation data in garden；Evaluation data are then based on, forecast analysis is carried out by the caffe model after training to obtain corresponding park
Appraisal report.In technical solution of the present invention, sample size is big, can also be updated to model in evaluation procedure, whole
On improve efficiency, objectivity and the accuracy of park evaluation, workload is reduced, it has also been found that current construction of park and hair
The problem of exhibition, provides decision support for the construction in park.
[Detailed description of the invention]
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be to needed in the embodiment attached
Figure is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for this field
For those of ordinary skill, without any creative labor, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is a kind of flow diagram of park evaluation method provided by the embodiment of the present invention；
Fig. 2 is a kind of functional block diagram of park evaluating apparatus provided by the embodiment of the present invention；
Fig. 3 is the structural schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.
[specific embodiment]
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with specific embodiment and accordingly
Technical solution of the present invention is clearly and completely described in attached drawing.Obviously, described embodiment is only a part of the invention
Embodiment, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making wound
Every other embodiment obtained under the premise of the property made labour, shall fall within the protection scope of the present invention.
Technical problem of the existing technology is not solved, the embodiment of the invention provides following feasible embodiments.
Referring to FIG. 1, it is a kind of park evaluation method provided by the embodiment of the present invention, as shown, this method packet
Include following steps:
Step S101 receives inquiry request, carries park information in the inquiry request；
Step S102 is based on the park information, corresponding description data is transferred from rating database, and pass through ID3
Algorithm is calculated to obtain the evaluation data in corresponding park；
Step S103 is based on the evaluation data, carries out forecast analysis by the caffe model after training to be corresponded to
The appraisal report in park.
Embodiment as described in Figure 1, this method receive inquiry request first, carry park information in inquiry request；Then
Based on park information, corresponding description data are transferred from rating database, and calculated to obtain correspondence by ID3 algorithm
The evaluation data in park；Evaluation data are then based on, forecast analysis is carried out by the caffe model after training to obtain corresponding public affairs
The appraisal report in garden.
When it is implemented, the inquiry request in step S101 is sent by client, park letter is carried in inquiry request
Breath, park information includes park name information and park location information, after being uploaded to server end, by server end operation data
Program is crawled to crawl by specified platform progress data.For example, the API that the platforms such as Gao De, microblogging, public comment and winged pig provide
Or SDK, it is crawled and is screened by Python spider crawler frame.
It is to be stored in rating database in the following way that data are described in step S101:
Using in the park information park location information and park name as keyword, specified platform is crawled
To obtain initial data；
Based on the rating database, after the initial data is matched, counted and won, obtain including that landscape is set
The description data of situation, traffic accessibility and resident's satisfaction are applied, and are stored in rating database；
Wherein, in the rating database include three and be respectively used to storage Landscape Facilities situation, traffic accessibility and residence
The tag along sort of people's satisfaction and the table of descriptor, the tag along sort include five grades, and each grade includes several descriptions
Word.
Description data generating procedure includes that the format of the selection and data to data converts two parts.The selection of data is simultaneous
Have depth and range, depth is the selection of history length, and range is the selection of coverage, so that the data set of selection has
Generality.Selected all kinds of formatted datas are converted into operable data source, i.e., are converted to many unstructured datas
Corresponding structural data.The description data in park period can indicate that W indicates park code name with 4 sign fields (W.X.Y.Z)
(e.g., A: Zhongshan Park；The park B: Hong Shan；C: Donghu Park ...)；X indicates the conceptual data classification (D: ground under W restriction
Domain；H: environment ...)；Y indicates second level classification, if general categories select environmental classes (H), then has second level class symbol (K: air；S:
Water body；B: vegetation ...), if second level classification selects air class (K), then there is corresponding designator (a: excellent；B: good ...).Example
Such as, it is good can to represent being rated for the air quality item of Donghu Park environmental classes by symbol C.H.K.b, only when carrying out logic analysis
The symbol is differentiated.
When it is implemented, the park information that server end is uploaded according to client, and with the park in the park information
Location information and park name crawl to obtain initial data specified platform, are based on rating database as keyword,
After matching initial data, counted and being won, obtain including Landscape Facilities situation, traffic accessibility and resident's satisfaction
Data are described, and are stored in rating database.
Then, word frequency statistics are carried out to each descriptor in the description data by ID3 algorithm, according to each descriptor
Word frequency and preset weights calculate corresponding park obtaining at Landscape Facilities situation, traffic accessibility and three aspects of resident's satisfaction
Point, to obtain the evaluation data in corresponding park.
After the evaluation data obtained, from the point of view of machine learning, for park evaluation problem actually
It is classification problem more than one, we carry out model training using SVM (Support Vector Machine, support vector machines),
Samples are evaluated in the parks that input largely sets evaluation data, and after being trained, an available prediction model is subsequent
When carrying out new park evaluation task, inputting corresponding evaluation data can predict to obtain the evaluation result in the park, and comment
Valence mumber evidence can be obtained by step S101 and step S102.For example, the evaluation data for inputting 3000 different parks, make
With caffe (Convolutional Architecture for Fast Feature Embedding, convolutional neural networks frame
Frame) carry out SVM training, so that it may caffe model is obtained, forecast analysis is used for.Wherein, the training objective of SVM are as follows:
The boundary between class and class is fitted by the training of great amount of samples data, completes two classification problems, just with such
It pushes away, carries out the multiple fitting of " one-to-many ", be achieved that more classification.
It should be noted that park each time evaluate during, to the information blind spot in data calculation process into
Row record, and in later each evaluation, blind spot screening is carried out for each information point newly got, is replenished in time scarce
Data are lost, are stored in rating database.Repeatedly, continuous iteration optimization caffe model and rating database, and according to key
Word frequency time adjustment information captures emphasis, to keep entire appraisement system more perfect, the appraisal report obtained is more and more accurate thin
It causes.So the method for the embodiment of the present invention further include:
Acquire the blind spot information in each park evaluation procedure, and be stored in after blind spot screening the rating database with into
Row data update.
In the method for the embodiment of the present invention, firstly, receiving inquiry request, park information is carried in inquiry request；Then, base
In park information, corresponding description data are transferred from rating database, and are calculated by ID3 algorithm to obtain corresponding public affairs
The evaluation data in garden；Evaluation data are then based on, forecast analysis is carried out by the caffe model after training to obtain corresponding park
Appraisal report.In technical solution of the present invention, sample size is big, can also be updated to model in evaluation procedure, whole
On improve efficiency, objectivity and the accuracy of park evaluation, workload is reduced, it has also been found that current construction of park and hair
The problem of exhibition, provides decision support for the construction in park.
The embodiment of the present invention, which further provides, realizes the Installation practice of each step and method in above method embodiment.
Referring to FIG. 2, it is a kind of functional block diagram of park evaluating apparatus provided by the embodiment of the present invention, as schemed institute
Show, which includes:
Receiving module 210 carries park information in the inquiry request for receiving inquiry request；
Computing module 220, for transferring corresponding description data from rating database based on the park information, and
It is calculated by ID3 algorithm to obtain the evaluation data in corresponding park；
Analysis module 230, for being based on the evaluation data, by caffe model after training carry out forecast analysis with
Obtain the appraisal report in corresponding park.
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, the description number
According to being stored in rating database in the following way:
Using in the park information park location information and park name as keyword, specified platform is crawled
To obtain initial data；
Based on the rating database, after the initial data is matched, counted and won, obtain including that landscape is set
The description data of situation, traffic accessibility and resident's satisfaction are applied, and are stored in rating database；
Wherein, in the rating database include three and be respectively used to storage Landscape Facilities situation, traffic accessibility and residence
The tag along sort of people's satisfaction and the table of descriptor, the tag along sort include five grades, and each grade includes several descriptions
Word.
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, the calculating mould
Block is specifically used for:
Word frequency statistics are carried out to each descriptor in the description data by ID3 algorithm, according to the word frequency of each descriptor
Score of the corresponding park in terms of Landscape Facilities situation, traffic accessibility and resident's satisfaction three is calculated with preset weights,
To obtain the evaluation data in corresponding park.
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, the caffe mould
The training process of type specifically includes:
The evaluation data for inputting preset quantity park obtain caffe model after carrying out model training by SVM；Wherein,
The training objective of SVM are as follows:
The aspect and any possible implementation manners as described above, it is further provided a kind of implementation, described device is also
Include:
Update module, for acquiring the blind spot information in each park evaluation procedure, and after blind spot screening described in deposit
Rating database is to carry out data update.
Method shown in FIG. 1 is able to carry out by each unit module in this present embodiment, what the present embodiment was not described in detail
Part can refer to the related description to Fig. 1.
Fig. 3 is the structural schematic diagram of one embodiment of the present of invention electronic equipment.Referring to FIG. 3, in hardware view, the electricity
Sub- equipment includes processor, optionally further comprising internal bus, network interface, memory.Wherein, memory may be comprising interior
It deposits, such as high-speed random access memory (Random-Access Memory, RAM), it is also possible to further include non-volatile memories
Device (non-volatile memory), for example, at least 1 magnetic disk storage etc..Certainly, which is also possible that other
Hardware required for business.
Processor, network interface and memory can be connected with each other by internal bus, which can be ISA
(Industry Standard Architecture, industry standard architecture) bus, PCI (Peripheral
Component Interconnect, Peripheral Component Interconnect standard) bus or EISA (Extended Industry Standard
Architecture, expanding the industrial standard structure) bus etc..The bus can be divided into address bus, data/address bus, control always
Line etc..Only to be indicated with a four-headed arrow in Fig. 3, it is not intended that an only bus or a type of convenient for indicating
Bus.
Memory, for storing program.Specifically, program may include program code, and said program code includes calculating
Machine operational order.Memory may include memory and nonvolatile memory, and provide instruction and data to processor.
In a kind of mode in the cards, processor read from nonvolatile memory corresponding computer program to
It is then run in memory, corresponding computer program can also be obtained from other equipment, commented with forming park on logic level
Valence device.Processor executes the program that memory is stored, is mentioned with being realized in any embodiment of the present invention by the program executed
The park evaluation method of confession.
The embodiment of the present invention also proposed a kind of computer readable storage medium, the computer-readable recording medium storage one
A or multiple programs, the one or more program include instruction, which holds when by the electronic equipment including multiple application programs
When row, the electronic equipment can be made to execute the park evaluation method provided in any embodiment of the present invention.
The method that the above-mentioned park evaluating apparatus provided such as embodiment illustrated in fig. 2 of the present invention executes can be applied to processor
In, or realized by processor.Processor may be a kind of IC chip, the processing capacity with signal.It was realizing
Each step of Cheng Zhong, the above method can be complete by the integrated logic circuit of the hardware in processor or the instruction of software form
At.Above-mentioned processor can be general processor, including central processing unit (Central Processing Unit, CPU),
Network processing unit (Network Processor, NP) etc.；It can also be digital signal processor (Digital Signal
Processor, DSP), it is specific integrated circuit (Application Specific Integrated Circuit, ASIC), existing
Field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic device are divided
Vertical door or transistor logic, discrete hardware components.It may be implemented or execute and is in the embodiment of the present invention disclosed each
Method, step and logic diagram.General processor can be microprocessor or the processor is also possible to any conventional place
Manage device etc..
The step of method in conjunction with disclosed in the embodiment of the present invention, can be embodied directly in hardware decoding processor and execute
At, or in decoding processor hardware and software module combination execute completion.Software module can be located at random access memory,
This fields such as flash memory, read-only memory, programmable read only memory or electrically erasable programmable memory, register maturation
In storage medium.The storage medium is located at memory, and processor reads the information in memory, completes above-mentioned side in conjunction with its hardware
The step of method.
The embodiment of the present invention also proposed a kind of computer readable storage medium, the computer-readable recording medium storage one
A or multiple programs, the one or more program include instruction, which holds when by the electronic equipment including multiple application programs
When row, the electronic equipment can be made to execute the park evaluation method provided in any embodiment of the present invention.
System, device, module or the unit that above-described embodiment illustrates can specifically realize by computer chip or entity,
Or it is realized by the product with certain function.It is a kind of typically to realize that equipment is computer.Specifically, computer for example may be used
Think personal computer, laptop computer, cellular phone, camera phone, smart phone, personal digital assistant, media play
It is any in device, navigation equipment, electronic mail equipment, game console, tablet computer, wearable device or these equipment
The combination of equipment.
For convenience of description, it describes to be divided into various units when apparatus above with function or module describes respectively.Certainly, In
Implement to realize the function of each unit or module in the same or multiple software and or hardware when the present invention.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
In a typical configuration, calculating equipment includes one or more processors (CPU), input/output interface, net
Network interface and memory.
Memory may include the non-volatile memory in computer-readable medium, random access memory (RAM) and/or
The forms such as Nonvolatile memory, such as read-only memory (ROM) or flash memory (flash RAM).Memory is computer-readable medium
Example.
Computer-readable medium includes permanent and non-permanent, removable and non-removable media can be by any method
Or technology come realize information store.Information can be computer readable instructions, data structure, the module of program or other data.
The example of the storage medium of computer includes, but are not limited to phase change memory (PRAM), static random access memory (SRAM), moves
State random access memory (DRAM), other kinds of random access memory (RAM), read-only memory (ROM), electric erasable
Programmable read only memory (EEPROM), flash memory or other memory techniques, read-only disc read only memory (CD-ROM) (CD-ROM),
Digital versatile disc (DVD) or other optical storage, magnetic cassettes, tape magnetic disk storage or other magnetic storage devices
Or any other non-transmission medium, can be used for storage can be accessed by a computing device information.As defined in this article, it calculates
Machine readable medium does not include temporary computer readable media (transitory media), such as the data-signal and carrier wave of modulation.
It should also be noted that, the terms "include", "comprise" or its any other variant are intended to nonexcludability
It include so that the process, method, commodity or the equipment that include a series of elements not only include those elements, but also to wrap
Include other elements that are not explicitly listed, or further include for this process, method, commodity or equipment intrinsic want
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including described want
There is also other identical elements in the process, method of element, commodity or equipment.
It will be understood by those skilled in the art that the embodiment of the present invention can provide as method, system or computer program product.
Therefore, complete hardware embodiment, complete software embodiment or embodiment combining software and hardware aspects can be used in the present invention
Form.It is deposited moreover, the present invention can be used to can be used in the computer that one or more wherein includes computer usable program code
The shape for the computer program product implemented on storage media (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.)
Formula.
The present invention can describe in the general context of computer-executable instructions executed by a computer, such as program
Module.Generally, program module includes routines performing specific tasks or implementing specific abstract data types, programs, objects, group
Part, data structure etc..The present invention can also be practiced in a distributed computing environment, in these distributed computing environments, by
Task is executed by the connected remote processing devices of communication network.In a distributed computing environment, program module can be with
In the local and remote computer storage media including storage equipment.
Various embodiments are described in a progressive manner in the present invention, same and similar part between each embodiment
It may refer to each other, each embodiment focuses on the differences from other embodiments.Implement especially for system
For example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method
Part illustrates.
The above description is only an embodiment of the present invention, is not intended to restrict the invention.For those skilled in the art
For, the invention may be variously modified and varied.All any modifications made within the spirit and principles of the present invention are equal
Replacement, improvement etc., should be included within scope of the presently claimed invention.
Claims (10)
1. a kind of park evaluation method, which is characterized in that the described method includes:
Inquiry request is received, carries park information in the inquiry request；
Based on the park information, transfer corresponding description data from rating database, and by ID3 algorithm calculated with
Obtain the evaluation data in corresponding park；
Based on the evaluation data, forecast analysis is carried out by the caffe model after training to obtain the evaluation report in corresponding park
It accuses.
2. the method according to claim 1, wherein the description data are stored in evaluation data in the following way
Library:
Using in the park information park location information and park name as keyword, specified platform is crawled to obtain
Obtain initial data；
Based on the rating database, after the initial data is matched, counted and won, obtain including Landscape Facilities feelings
The description data of condition, traffic accessibility and resident's satisfaction, and it is stored in rating database；
Wherein, being respectively used to storage Landscape Facilities situation, traffic accessibility and resident including three in the rating database expires
The tag along sort of meaning degree and the table of descriptor, the tag along sort include five grades, and each grade includes several descriptors.
3. according to the method described in claim 2, it is characterized in that, described calculated by ID3 algorithm to obtain corresponding public affairs
The evaluation data in garden, specifically include:
Word frequency statistics are carried out to each descriptor in the description data by ID3 algorithm, according to the word frequency of each descriptor and in advance
If weight computing goes out corresponding park in Landscape Facilities situation, the score of three aspects of traffic accessibility and resident's satisfaction, to obtain
The evaluation data in park must be corresponded to.
4. the method stated according to claim 3, which is characterized in that the training process of the caffe model specifically includes:
The evaluation data for inputting preset quantity park obtain caffe model after carrying out model training by SVM；Wherein, SVM
Training objective are as follows:
5. the method stated according to claim 1, which is characterized in that the method also includes:
The blind spot information in each park evaluation procedure is acquired, and is stored in the rating database after blind spot screening to be counted
According to update.
6. a kind of park evaluating apparatus, which is characterized in that described device includes:
Receiving module carries park information in the inquiry request for receiving inquiry request；
Computing module transfers corresponding description data, and pass through ID3 for being based on the park information from rating database
Algorithm is calculated to obtain the evaluation data in corresponding park；
Analysis module carries out forecast analysis by the caffe model after training for being based on the evaluation data to be corresponded to
The appraisal report in park.
7. the device stated according to claim 6, which is characterized in that the description data are stored in evaluation data in the following way
Library:
Using in the park information park location information and park name as keyword, specified platform is crawled to obtain
Obtain initial data；
Based on the rating database, after the initial data is matched, counted and won, obtain including Landscape Facilities feelings
The description data of condition, traffic accessibility and resident's satisfaction, and it is stored in rating database；
Wherein, being respectively used to storage Landscape Facilities situation, traffic accessibility and resident including three in the rating database expires
The tag along sort of meaning degree and the table of descriptor, the tag along sort include five grades, and each grade includes several descriptors.
8. the device stated according to claim 7, which is characterized in that the computing module is specifically used for:
Word frequency statistics are carried out to each descriptor in the description data by ID3 algorithm, according to the word frequency of each descriptor and in advance
If weight computing goes out corresponding park in Landscape Facilities situation, the score of three aspects of traffic accessibility and resident's satisfaction, to obtain
The evaluation data in park must be corresponded to.
9. the device stated according to claim 8, which is characterized in that the training process of the caffe model specifically includes:
The evaluation data for inputting preset quantity park obtain caffe model after carrying out model training by SVM；Wherein, SVM
Training objective are as follows:
10. the device stated according to claim 6, which is characterized in that described device further include:
Update module for acquiring the blind spot information in each park evaluation procedure, and is stored in the evaluation after blind spot screening
Database is to carry out data update.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111178721A (en) * | 2019-12-20 | 2020-05-19 | 长沙市新时科技发展有限公司 | Intelligent tourism system |
| CN113642745A (en) * | 2021-08-11 | 2021-11-12 | 余国立 | Garden data acquisition method and system |
-
2019
- 2019-01-17 CN CN201910045175.7A patent/CN110390096A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111178721A (en) * | 2019-12-20 | 2020-05-19 | 长沙市新时科技发展有限公司 | Intelligent tourism system |
| CN113642745A (en) * | 2021-08-11 | 2021-11-12 | 余国立 | Garden data acquisition method and system |
| CN113642745B (en) * | 2021-08-11 | 2023-09-01 | 余国立 | Garden data acquisition method and system |
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