CN110263935A - Artificial intelligence industry line modeling platform based on machine learning algorithm - Google Patents
Artificial intelligence industry line modeling platform based on machine learning algorithm Download PDFInfo
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Abstract
The invention discloses the artificial intelligence industry line modeling platforms based on machine learning algorithm, are related to field of artificial intelligence.The present invention includes artificial intelligence Modeling Platform, and artificial intelligence Modeling Platform includes hardware system, software systems and Transmission system, and the hardware configuration in hardware system includes modeling work platform, and one surface of modeling work platform is fixed with control mainboard.The present invention passes through algorithms library system, the combination of modeling work platform and business models library system, so that should have the ability of line modeling and automation modeling based on the artificial intelligence industry line modeling platform of machine learning algorithm, and it is capable of providing model library abundant, to improve Model Reuse rate, and model centralized management can be made, facilitate the sharing and propagation of knowledge, have simultaneously and supports mass data processing ability, keep its operation based on Distributed engine ability more efficient, support single cpu mode processing capacity, support system deployment publicly-owned, privately owned different deployed environment.
Description
Technical field
The invention belongs to field of artificial intelligence, exist more particularly to the artificial intelligence industry based on machine learning algorithm
Line Modeling Platform.
Background technique
Chinese industrial and informationization portion electronics technology information research institute data show, 2015, Chinese artificial intelligence
69.32 hundred million yuan of market scale, increase by 42.7% on a year-on-year basis；2016,95.61 hundred million yuan of Chinese artificial intelligence market scale increased on year-on-year basis
Long 37.9%；2017,132.36 hundred million yuan of Chinese artificial intelligence market scale increased 40.7% on year-on-year basis；2018, the artificial intelligence of China
Can market scale up to 20,000,000,000 yuan, annual growth is up to 51.6%；Industry size is substantially improved.So before the application of machine learning market
Scape is wide, and development space is huge.
And the artificial intelligence of industry universal is still within the primary stage now and the expectation of people still has very big difference
Away from and the artificial intelligence solution of special scenes constantly attracts attention, especially government and large enterprise client.
Existing artificial intelligence industry line modeling platform technology is numerous, learning cost is high, technical staff develops threshold height,
Interface ease for use is poor, lacks procedure and can not adjust automatically parameter；And existing artificial intelligence industry line modeling platform
Technology platform and operation flow be it is separated, can not provide one-stop service experience, do not support mainstream machine learning and depth
Spend learning framework requirement；Meanwhile existing artificial intelligence industry line modeling platform can not handle mass data requirement, algorithm not
It supports parallel computation, enriched data type can not be handled；Finally, existing artificial intelligence industry line modeling platform make through
Test can not be precipitated with knowledge, mining model multiplexing is difficult, development cost is high.
Summary of the invention
The purpose of the present invention is to provide the artificial intelligence industry line modeling platforms based on machine learning algorithm, pass through calculation
The combination of Faku County's system, modeling work platform and business models library system, so that the platform has line modeling and automatic Building
The ability of mould, and it is capable of providing model library abundant, to improve Model Reuse rate, and model centralized management can be made, had
The sharing and propagation for helping knowledge, solve existing artificial intelligence industry line modeling platform technology is numerous, study threshold is high,
Platform has no through with operation flow, data volume is big, data type is more, ability encounters bottleneck, experience and knowledge can not be precipitated and be asked
Topic.
In order to solve the above technical problems, the present invention is achieved by the following technical solutions:
The present invention is the artificial intelligence industry line modeling platform based on machine learning algorithm, including artificial intelligence modeling is put down
Platform, the artificial intelligence Modeling Platform include hardware system, software systems and Transmission system, and the hardware in the hardware system is matched
It sets including modeling work platform, one surface of modeling work platform is fixed with control mainboard；
Software systems in the control mainboard include algorithms library system and business models library system；
The algorithmic system includes applying unit, tool unit, algorithm unit, hardware cell and data cell；
Business models library system includes business model unit.
Further, the Transmission system includes data line transmission and wireless network transmissions, one table of modeling work platform
Face, which is inlayed, is fixed with a touch screen, and the data line transmits one end and the input terminal of touch screen is electrically connected, and the data line is another
One end and control mainboard output end are electrically connected, and a hard disk is fixed in the modeling work platform, and the hard disk is passed by data
Defeated route and control mainboard input terminal are electrically connected.
Further, the applying unit includes decision expert module, wisdom marketing module, data analysis module, intelligence
Customer service module, wisdom network module, internal control intelligent detection module, suspicious transaction detection module, intelligent shopping guide module and program push away
Recommend module.
Further, the business model unit includes warning against losing customers module, relation recognition module, identification preference pattern mould
Block, semantic module, face recognition module, base station intelligent patrol detection module, internal control monitoring and warning model module, suspicious transaction net
Network model module, case screening module, anti money washing module and commodity intelligent recommendation model module.
Further, the tool unit includes machine learning module, text mining module, intelligent answer module and image
Identification module.
Further, the algorithm unit include Python module, R module, Spark ML module, Mahout module,
TensorFlow module, Caffe module, Pytorch module, Keras module and MXNet module.
Further, the hardware cell includes CPU module, CPU module and FPGA module.
Further, the data cell includes line module, voice module, product module, Wideband module, wireless mould
Block, funds flow module, event information module, flow module, point broadcasting module and rating module.
The invention has the following advantages:
The present invention passes through the combination of algorithms library system, modeling work platform and business models library system, so that machine should be based on
The artificial intelligence industry line modeling platform of device learning algorithm has the ability of line modeling and automation modeling, and can mention
For model library abundant, to improve Model Reuse rate, and model centralized management can be made, facilitate the sharing and biography of knowledge
It broadcasts, while having and supporting mass data processing ability, keep its operation based on Distributed engine ability more efficient, support single machine mould
Formula processing capacity makes system deployment support publicly-owned, privately owned different deployed environment, finally has and industry customization demand is supported to open
Hair supports recurrence, classification, cluster, recommends scheduling algorithm, and supported feature engineering, pretreatment, statistical analysis even depth study frame
Frame allows to carry out the functions such as extension of algorithm, solves that existing artificial intelligence industry line modeling platform technology is numerous, study
Threshold is high, platform and operation flow has no through, data volume is big, data type is more, ability encounters bottleneck, experience and knowledge can not
Sedimentation problem.
Certainly, it implements any of the products of the present invention and does not necessarily require achieving all the advantages described above at the same time.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, will be described below to embodiment required
Attached drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, for ability
For the those of ordinary skill of domain, without creative efforts, it can also be obtained according to these attached drawings other attached
Figure.
Fig. 1 is the system principle frame of the artificial intelligence industry line modeling platform of the invention based on machine learning algorithm
Figure；
Fig. 2 is the system principle frame diagram of algorithms library system and business models library system；
Fig. 3 is the system principle frame diagram of applying unit；
Fig. 4 is the system principle frame diagram of business model unit；
Fig. 5 is the system principle frame diagram of tool unit；
Fig. 6 is the system principle frame diagram of algorithm unit；
Fig. 7 is the system principle frame diagram of hardware cell；
Fig. 8 is the system principle frame diagram of data cell；
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts all other
Embodiment shall fall within the protection scope of the present invention.
It please refers to shown in Fig. 1-8, the present invention is the artificial intelligence industry line modeling platform based on machine learning algorithm, packet
Include artificial intelligence Modeling Platform, artificial intelligence Modeling Platform includes hardware system, software systems and Transmission system, in hardware system
Hardware configuration include modeling work platform, one surface of modeling work platform is fixed with control mainboard；
Software systems in control mainboard include algorithms library system and business models library system；
Algorithmic system includes applying unit, tool unit, algorithm unit, hardware cell and data cell；
Business models library system includes business model unit.
Wherein, Transmission system includes that data line transmission and wireless network transmissions, one surface inserting of modeling work platform are fixed with
One touch screen, data line transmits one end and the input terminal of touch screen is electrically connected, the data line other end and control mainboard output end
It is electrically connected, a hard disk is fixed in modeling work platform, hard disk is electrically connected by data transmission link with control mainboard input terminal
It connects.
Wherein as shown in figure 3, applying unit includes decision expert module, wisdom marketing module, data analysis module, intelligence
Customer service module, wisdom network module, internal control intelligent detection module, suspicious transaction detection module, intelligent shopping guide module and program push away
Module is recommended, various application modules are so that it is based on Distributed engine ability in order to make it have and support mass data processing ability
Operation it is more efficient, support single cpu mode processing capacity, so that system deployment is supported publicly-owned, privately owned different deployed environment.
Wherein as shown in figure 4, business model unit includes warning against losing customers module, relation recognition module, identification preference pattern
Module, semantic module, face recognition module, base station intelligent patrol detection module, internal control monitoring and warning model module, suspicious transaction
Network model module, case screening module, anti money washing module and commodity intelligent recommendation model module, various businesses model module are
In order to make it have the ability of line modeling and automation modeling, and it is capable of providing model library abundant, to improve model
Reusability, and model centralized management can be made, facilitate the function of sharing and the propagation of knowledge.
Wherein as shown in figure 5, tool unit includes machine learning module, text mining module, intelligent answer module and figure
As identification module, various tool models are that corresponding support is provided for the operation to other units.
Wherein as shown in fig. 6, algorithm unit include Python module, R module, Spark ML module, Mahout module,
TensorFlow module, Caffe module, Pytorch module, Keras module and MXNet module, various algoritic modules be in order to
There is the platform and support the exploitation of industry customization demand, support to return, classification, cluster, recommend scheduling algorithm, and supported feature work
Journey, pretreatment, statistical analysis even depth learning framework, allow to carry out the functions such as the extension of algorithm.
Wherein as shown in fig. 7, hardware cell includes CPU module, CPU module and FPGA module, hardware cell is to match
Hop algorithm unit carries out the calculating of data algorithm, plays a supporting role to it.
Wherein as shown in figure 8, data cell includes line module, voice module, product module, Wideband module, wireless mould
Block, funds flow module, event information module, flow module, point broadcasting module and rating module.
In the description of this specification, the description of reference term " one embodiment ", " example ", " specific example " etc. means
Particular features, structures, materials, or characteristics described in conjunction with this embodiment or example are contained at least one implementation of the invention
In example or example.In the present specification, schematic expression of the above terms may not refer to the same embodiment or example.
Moreover, particular features, structures, materials, or characteristics described can be in any one or more of the embodiments or examples to close
Suitable mode combines.
Present invention disclosed above preferred embodiment is only intended to help to illustrate the present invention.There is no detailed for preferred embodiment
All details are described, are not limited the invention to the specific embodiments described.Obviously, according to the content of this specification,
It can make many modifications and variations.These embodiments are chosen and specifically described to this specification, is in order to better explain the present invention
Principle and practical application, so that skilled artisan be enable to better understand and utilize the present invention.The present invention is only
It is limited by claims and its full scope and equivalent.
Claims (8)
1. the artificial intelligence industry line modeling platform based on machine learning algorithm, it is characterised in that: modeled including artificial intelligence
Platform, the artificial intelligence Modeling Platform include hardware system, software systems and Transmission system, the hardware in the hardware system
Configuration includes modeling work platform, and one surface of modeling work platform is fixed with control mainboard；
Software systems in the control mainboard include algorithms library system and business models library system；
The algorithmic system includes applying unit, tool unit, algorithm unit, hardware cell and data cell；
Business models library system includes business model unit.
2. the artificial intelligence industry line modeling platform according to claim 1 based on machine learning algorithm, feature exist
In the Transmission system includes that data line transmission and wireless network transmissions, one surface inserting of modeling work platform are fixed with one
Touch screen, the data line transmits one end and the input terminal of touch screen is electrically connected, the data line other end and control mainboard
Output end is electrically connected, and a hard disk is fixed in the modeling work platform, and the hard disk is led by data transmission link and control
Plate input terminal is electrically connected.
3. the artificial intelligence industry line modeling platform according to claim 1 based on machine learning algorithm, feature exist
In the applying unit includes decision expert module, wisdom marketing module, data analysis module, intelligent customer service module, wisdom net
Network module, internal control intelligent detection module, suspicious transaction detection module, intelligent shopping guide module and Program recommendation module.
4. the artificial intelligence industry line modeling platform according to claim 1 based on machine learning algorithm, feature exist
In the business model unit includes warning against losing customers module, relation recognition module, identification preference pattern module, semantic analysis mould
Block, face recognition module, base station intelligent patrol detection module, internal control monitoring and warning model module, suspicious trade network model module, case
Example screening module, anti money washing module and commodity intelligent recommendation model module.
5. the artificial intelligence industry line modeling platform according to claim 1 based on machine learning algorithm, feature exist
In the tool unit includes machine learning module, text mining module, intelligent answer module and picture recognition module.
6. the artificial intelligence industry line modeling platform according to claim 1 based on machine learning algorithm, feature exist
In, the algorithm unit include Python module, R module, Spark ML module, Mahout module, TensorFlow module,
Caffe module, Pytorch module, Keras module and MXNet module.
7. the artificial intelligence industry line modeling platform according to claim 1 based on machine learning algorithm, feature exist
In the hardware cell includes CPU module, CPU module and FPGA module.
8. the artificial intelligence industry line modeling platform according to claim 1 based on machine learning algorithm, feature exist
In, the data cell include line module, voice module, product module, Wideband module, wireless module, funds flow module,
Event information module, flow module, point broadcasting module and rating module.
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Cited By (2)
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| CN112445462A (en) * | 2020-11-16 | 2021-03-05 | 北京思特奇信息技术股份有限公司 | Artificial intelligence modeling platform and method based on object-oriented design |
| CN113570063A (en) * | 2020-04-28 | 2021-10-29 | 大唐移动通信设备有限公司 | Machine learning model parameter transmission method and device |
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| CN108881446A (en) * | 2018-06-22 | 2018-11-23 | 深源恒际科技有限公司 | A kind of artificial intelligence plateform system based on deep learning |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113570063A (en) * | 2020-04-28 | 2021-10-29 | 大唐移动通信设备有限公司 | Machine learning model parameter transmission method and device |
| WO2021218302A1 (en) * | 2020-04-28 | 2021-11-04 | 大唐移动通信设备有限公司 | Method and apparatus for transferring machine learning model parameter |
| JP2023523073A (en) * | 2020-04-28 | 2023-06-01 | 大唐移▲動▼通信▲設▼▲備▼有限公司 | Method and Apparatus for Transferring Machine Learning Model Parameters |
| JP7418610B2 (en) | 2020-04-28 | 2024-01-19 | 大唐移▲動▼通信▲設▼▲備▼有限公司 | Method and apparatus for transferring machine learning model parameters |
| CN113570063B (en) * | 2020-04-28 | 2024-04-30 | 大唐移动通信设备有限公司 | Machine learning model parameter transmission method and device |
| CN112445462A (en) * | 2020-11-16 | 2021-03-05 | 北京思特奇信息技术股份有限公司 | Artificial intelligence modeling platform and method based on object-oriented design |
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