CN117114953B - Method for dynamically evaluating and constructing chess deduction system, server and storage medium - Google Patents
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Abstract
The application discloses a method for dynamically evaluating and constructing a chess deduction system, a server and a storage medium, belonging to the field of simulation deduction, and comprising the following steps: constructing an evaluation index system structure, constructing a header, an evaluation data row and an evaluation data item of the evaluation index system structure according to the need, and associating the evaluation data item with data generated by deduction of a chess deduction system; setting a pre-condition for the evaluation data item, and associating the evaluation data item with the corresponding pre-condition, wherein the pre-condition is used for filtering the corresponding data; and configuring an evaluation graph, and associating each evaluation graph item in the evaluation graph with the evaluation data item. The method has the technical effects that the problem of statistical diversity of the evaluation indexes of the chess deduction system is solved, the evaluation header and the data content can be generated and adjusted as required through interface configuration, code compiling is not needed, and the development, operation and maintenance efficiency of the chess deduction system in the aspects of evaluation index statistics and display is improved.
Description
Technical Field
The application belongs to the field of simulation deduction, and particularly relates to a dynamic evaluation construction method, a server and a storage medium of a chess deduction system.
Background
The soldier chess is a tool for simulating and judging two or more opponent game activities by using a map and chessmen which visually represent battlefield environments and military forces and taking rules (data) formed by statistical analysis of military practice experience as a main part and a model as an auxiliary part. The application of the soldier chess to carry out the deduction of the soldier chess is to simulate the actual combat force by using the chessmen, and to combat the soldier chess applied by two or more parties, and according to a certain rule, the alternative decision and the command and combat exercise are carried out on the supposed military operation in the simulated battlefield environment.
Depending on the chess deduction system, after the completion of the chess deduction, the commander is often required to evaluate certain important deduction combat indexes and report. Because of various factors such as different combat situations and different commanders, the evaluation indexes are different each time, and usually, manual statistics is required to be carried out by a guarantee staff or statistical display is carried out on index items and index results by the coding of a developer.
Aiming at the deduction requirements of the soldiers in multiple combat patterns, the soldier deduction system needs to be deployed aiming at different combat patterns and different combat situations, and evaluation indexes needed by commander after deduction is finished are different. The existing soldier chess deduction is usually carried out by manually counting related evaluation indexes by a guarantee staff after the fight deduction is finished or writing a webpage interface by a developer, so that the development efficiency is low. In addition, in the application process, angles of attention of different command deductors are different, the evaluation index or the display of the evaluation index display effect is adjusted, and the operation and maintenance efficiency is low by modifying codes to adjust. The time and labor are consumed, the use is inconvenient, and the efficiency of the deduction of the chess is extremely influenced.
Therefore, a technology of a chess deduction system for a plurality of combat patterns is needed, and the above problems can be solved.
Disclosure of Invention
In order to solve the defects of the prior art, the application provides a dynamic evaluation construction method of a chess deduction system, which can be directly combined with deduction data by carrying out configuration such as evaluation data items and the like, so that final evaluation index data can be obtained quickly, and the practicability, expandability and maintainability of the system are improved to a great extent.
The technical effect to be achieved by the application is realized through the following scheme:
according to a first aspect of the present application, a method for dynamically evaluating and constructing a chess deduction system is provided, including the following steps:
step 1: constructing an evaluation index system structure, and constructing a header, an evaluation data row and evaluation data items of the evaluation index system structure according to the need, wherein a plurality of evaluation data items are arranged in the evaluation data row, and the evaluation data items are related to data generated by deduction of a chess deduction system;
step 2: setting a pre-condition for the evaluation data item, and associating the evaluation data item with the corresponding pre-condition, wherein the pre-condition is used for filtering the corresponding data;
step 3: and configuring an evaluation graph, and associating each evaluation graph item in the evaluation graph with the evaluation data item.
Preferably, in step 1, the evaluation index architecture includes a plurality of evaluation data lines as required, and the evaluation index architecture is associated with the evaluation data lines through the evaluation index architecture ID; the evaluation data line is associated with the evaluation data item by a data line ID.
Preferably, in step 1, a type selection is performed on the evaluation data row by constructing the evaluation data row, an evaluation data item is constructed according to the type of the evaluation data row, an attribute is defined on the evaluation data item, and the attribute according to the evaluation data item is associated with corresponding data of the chess deduction system.
Preferably, the types of evaluation data lines include a plurality of lines, a single line, a statistics line, a summary statistics line, and a samples line, wherein:
the multi-row finger directly acquires the data inserted by calculation from the evaluation data table;
the single row refers to acquiring data from a process data table or a process history data table;
the statistical row refers to a row of data or a plurality of rows of data which can be subjected to statistical operation;
the summary line refers to the capability of carrying out loading calculation on data items in other evaluation index architectures;
the summarizing and counting row means that the summarizing and counting row can carry out counting operation on the summarizing and counting row data;
the sample row refers to the evaluation data of N samples of the course selected by the chess deduction system, which can be subjected to mean value calculation.
Preferably, the attributes of the evaluation data item include, but are not limited to, identification, data line ID, calculation type, grouping, field identification, query condition, and expression, the calculation type being used to define the data acquisition mode of the evaluation data item.
Preferably, the calculation types include six types of data table items, attribute items, historical attribute items, calculation models, independent query items and calculation expression results put into a data set, wherein:
the data table item indicates that the data of the data item is sourced from the evaluation index architecture;
the attribute item identifies that the data item is derived from a process data table of a process selected by the evaluation system information display interface;
the history attribute item represents a process history data table of the data item from a process selected by the evaluation system information display interface;
the calculation model representation can be obtained by calculating the expression of the configured data item;
independent query term representation can be used for independently carrying out query calculation;
the placement of the computed expression result into the data set represents placement of the result into the data item after computation by the expression.
Preferably, in step 2, the evaluation data item and the precondition are associated by a data item ID corresponding to the evaluation data item, and each evaluation data item sets a plurality of the preconditions.
Preferably, in step 3, the method further includes selecting a chart type and defining chart attributes for the evaluation chart item, wherein the chart type at least includes a histogram, a line graph, a pie chart and a radar chart, and the chart type is selected through a drop-down list; the chart attributes include, but are not limited to, identification, chart ID, legend data, Y-axis data, X-axis data, and X-axis type.
According to a second aspect of the present application, there is provided a server comprising: a memory and at least one processor;
the memory stores a computer program, and the at least one processor executes the computer program stored in the memory to realize the dynamic evaluation construction method of the chess deduction system.
According to a third aspect of the present application, there is provided a computer-readable storage medium having stored therein a computer program which, when executed, implements the above-described method for constructing a dynamic evaluation of a chess deduction system.
According to the embodiment of the application, the technical effect of the dynamic evaluation construction method of the own chess deduction system is that the statistical diversity problem of evaluation indexes of the own chess deduction system is solved, the evaluation header and the data content can be generated and adjusted according to the needs through interface configuration, code compiling is not needed, the system has strong applicability and expandability in the aspect of evaluating different indexes after deduction is finished, and the development and operation efficiency of the own chess deduction system in the aspects of evaluation index statistics and display is improved.
Drawings
In order to more clearly illustrate the embodiments or prior art solutions of the present application, the drawings that are required for the description of the embodiments or prior art will be briefly described below, it being apparent that the drawings in the following description are only some of the embodiments described in the present application, and that other drawings may be obtained according to these drawings without inventive faculty for a person skilled in the art.
FIG. 1 is a flow chart of a method for dynamically evaluating and constructing a chess deduction system according to an embodiment of the present application;
fig. 2 is a block diagram of a server according to an embodiment of the present application.
Detailed Description
For the purposes, technical solutions and advantages of the present application, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
As shown in fig. 1, the method for constructing dynamic evaluation of the chess deduction system in an embodiment of the present application includes the following steps:
s110: constructing an evaluation index system structure, and constructing a header, an evaluation data row and evaluation data items of the evaluation index system structure according to the need, wherein a plurality of evaluation data items are arranged in the evaluation data row, and the evaluation data items are related to data generated by deduction of a chess deduction system;
in the step, the associated evaluation data items can acquire corresponding data generated by deduction of the chess deduction system, and the data required to be seen can be automatically filled into a form generated by the evaluation index system structure, so that manual searching and filling are not required.
The data sources in the evaluation index system structure mainly comprise a progress data table (mainly comprising chess id, chess attribute id, attribute value and time) of a chess deduction system, a progress history data table (mainly comprising chess id, chess attribute id, attribute value and history time) and a deduction result table, wherein the deduction result table needs to analyze evaluation index items, and data records are added to the deduction result table in the process of arbitration through an arbitration engine.
The evaluation index architecture comprises a plurality of evaluation data rows according to the requirement, and the evaluation index architecture is associated with the evaluation data rows through an evaluation index architecture ID; each evaluation data row is provided with a plurality of evaluation data items, and the evaluation data rows are associated with the evaluation data items through row IDs.
The structure of the evaluation index architecture is shown in table 1:
table 1 evaluation index architecture
The reserved fields C1-C14 and Y1-Y3 are reserved fields, and different evaluation index result data items are different, so that the reserved fields are used for storing different data items, and specific data item names are explained according to the configured data items.
In the step, the type selection is carried out on the evaluation data line when the evaluation data line is constructed, for example, the type of the evaluation data line is selected in a pull-down list, so that corresponding data processing can be automatically carried out on the evaluation data line when the data is acquired, the manual processing is not needed, and the automatic construction efficiency of the evaluation index system structure is improved;
the types of the evaluation data lines are the types of a plurality of lines, a single line, a statistical line, a summary statistical line and a sample line, wherein:
the multiple rows of data means that the data inserted by calculation can be obtained directly from an evaluation data table which is generated by the chess deduction system and stored in a database.
The single-row data refers to data acquired from a process data table or a process history data table, and calculation type selection of an applicable evaluation data item (a 0-data table item, a 1-attribute item, a 2-history attribute item and a 5-calculation expression result are put into a data set);
the statistical line data refers to that the statistical operation can be performed on single line data or multiple line data;
the summary line refers to the capability of loading and calculating the evaluation data items in other evaluation index architectures;
summarizing the statistical lines, wherein summarizing the statistical line data means that statistical operation can be performed on the summarized line data;
the sample row refers to the evaluation data items of N samples of the course selected by the chess deduction system can be subjected to mean value calculation.
And constructing an evaluation data item according to the type of the evaluation data row, defining the attribute of the evaluation data item, and acquiring corresponding data of the chess deduction system according to the attribute of the evaluation data item.
Attributes that need to be defined to evaluate a data item include, but are not limited to, identification, row ID, calculation type, grouping, field identification, query conditions, and expressions; the calculation type is used for defining the data acquisition mode of the evaluation data item. The attribute definition may be a drop-down list mode to perform selection definition, or a manual input mode to define the evaluation data item, wherein the expression is input according to a calculation type, for example, when the calculation type is "calculation model", a specific expression in the calculation model is input to achieve a special data processing effect (such as casualty proportion).
The packet indicates whether the data is presented in packets. Examples: the deduction of the chess deduction system is made of multiple rounds, namely, the rounds are grouped, and when an evaluator wants to display the data of all rounds of the current deduction process on a certain evaluation index, the evaluator can select grouping to set whether to display the data in a grouping way or not;
the field identifier represents a Chinese identifier of the evaluation data item;
the query condition indicates that the special data which can be looked up can be queried according to the condition; query conditions can be defined by expressions.
The specific evaluation data item table is shown in table 2:
table 2 evaluation data item
The calculation type comprises six types of data table items, attribute items, historical attribute items, calculation models, independent query items and calculation expression results, wherein the six types of calculation expression results are put into a data set, and the three types of calculation types comprise:
a data table entry, the data representing the evaluation data entry being sourced from the evaluation index architecture;
the attribute item represents a process data table of a process selected by the evaluation system information display interface from which the evaluation data item is derived;
a history attribute item, which represents that the evaluation data item is derived from a process history data table of a process selected by the evaluation system information display interface;
a calculation model, which indicates that the configured evaluation data item can be obtained through calculation by a certain expression;
independent query items, which means that query calculation can be independently performed, fields are selected as data table items or attribute items or history attribute items, and if the selected field type is the data table items, one item can be selected to participate in calculation through the evaluation index system structure; if the selected field type is an attribute item, the method indicates that the chessmen with the selected attribute can be selected from the progress data table to participate in calculation; if the selected field type is a history attribute item, the method can select the chessman with the selected attribute from the process history data table to participate in calculation.
The result of the expression is calculated and put into the data set, which means that the result is put into the evaluation data item after the expression is calculated, and the method is applicable to a single row.
And acquiring corresponding data from a database of the chess deduction system by the evaluation data item according to the calculation type. Through the definition of the evaluation data item, the data can be acquired more accurately, the acquired data can be automatically processed, the formation efficiency of the evaluation index system structure is further improved, and the later manual intervention processing is not needed.
S120: setting a plurality of preconditions for each evaluation data item, and associating the evaluation data item with the corresponding preconditions, wherein the preconditions are used for filtering the corresponding data;
in the step, two sources of data in the evaluation data item exist, and the first mode is to acquire the deduction process data of deduction directly through a chess deduction system; the second mode is obtained after deduction and judging special treatment through a chess deduction system.
By configuring the evaluation data item preconditions to append optimization filtering to the data items, each evaluation data item can have a plurality of conditions, and the evaluation data item is associated with the preconditions through the data item ID.
Preconditions refer to conditional restrictions on data items. For example: all pieces that are statistically deduced to survive are needed. The "calculation type" of the evaluation data item selects "attribute item", attribute selects "anti-hit value", and precondition inputs "kdjz >0". The surviving chessmen are screened out by the precondition, otherwise, the chessmen with kdjz equal to 0, namely, the red square and the blue square are screened out to resist the 'dead' chessmen.
S130: and configuring an evaluation graph, and associating each evaluation graph item in the evaluation graph with an evaluation data item.
In this step, the selection of the chart type and definition of the chart attribute of the evaluation chart item are also included, and the chart attribute of the evaluation chart includes, but is not limited to, identification, chart ID, legend data, Y-axis data, X-axis data, and X-axis type.
The X-axis type setting can be used for carrying out grouping display on grouping setting in the evaluation data item, so that distinction and analysis of returned json data are facilitated.
The evaluation index can be displayed in a form of table data, and can be displayed in a form of a graph, wherein the display of the graph is configured by evaluating graph items, and main fields are shown in table 3:
table 3 evaluation of the Entries
The chart types at least comprise four types of bar charts, line charts, pie charts and radar charts; the setting rules of the legend data are as follows: if the legend data is only single, the Chinese name of the legend data is directly input, and if the legend data is multiple, the legend data are spliced together by using "-", for example: primary unit-secondary unit-tertiary unit; the Y-axis data refers to the value of a data item corresponding to the Y-axis, and one or more data items can be selected from the multiple-selection drop-down boxes of the parameter data according to the number of the parameter data; the X-axis data refers to data items corresponding to the X-axis data, and one or more data items can be checked from the X-axis data multi-selection drop-down frames according to the number of the X-axis data; the X-axis data type is a type judged when the X-axis data is analyzed, the type is in two cases of type 0 and type 1, the type 0 is used by directly selecting from data items, namely, the evaluation data directly returns Chinese names, and the type 1 is used after analysis is needed.
In an embodiment of the present application, each evaluation index architecture may have different display effects, which is mainly represented by a difference between headers, where the headers of the evaluation index architecture are defined in JSON format, where Sx includes two types of rowspan and colspan, rowspan represents the number of rows occupied by the table, colspan represents the number of columns occupied by the table, and ys includes centering, left and right.
The JSON format is in key-value form, sx refers to row merging or column merging, ys refers to the style of data display. Examples: "Sx": "colspan=3" i.e. "Sx" means a key for column merging and "colspan=3" means merging three columns; "ys": "center", that is, "ys" means a key of the data display style, and "center" means that the data is centrally displayed in accordance with a table.
When the evaluation data item is set, a text input box for inputting the query condition appears, if the evaluation data item needs to be queried, the query condition can be written through an example rule, and if the query condition is not needed, the input box is empty. The query condition represents condition screening query through an expression, and the expression rule is as follows: if the calculation type is 3 and the packet is a packet item, the field identification is denoted by "#zdbs#" for further operation, preceding the field identification, following the condition value, for example, #sfbd# = 1 ≡ - #dkjg# = 'success';
the expression of type 3 represents the expression of type 3 or 4 for conditional screening query, the expression rules are as follows:
if the calculation type is 3, the field identifier is denoted by "#zdbs#", and the calculation mode (compute, sum, cnt, cntd) is written first, and then specific calculation is performed, for example: computer;#hsl # > = 1.
If the representation is constant, for example: computer, 'success'.
If the calculation type is 4, the calculation mode is written first, and then the field identification is bracketed by using "()" for calculation, for example: count (distinct (mbid));
the types include a value range and a parameter transmission type, the value range is generally adopted, parameters are set in modes of >, <, =, <, ", in and the like, and the parameter value on the right side of the symbol is expressed in a para form; the parameter transmission can be used for transmitting round values, and is suitable for evaluating the condition of round data of a table.
According to a second aspect of the present application, there is provided a server comprising: a memory 201 and at least one processor 202;
the memory 201 stores a computer program, and the at least one processor 202 executes the computer program stored in the memory 201 to implement the above-mentioned method for dynamically evaluating and constructing the chess deduction system.
According to a third aspect of the present application, there is provided a computer-readable storage medium having stored therein a computer program which, when executed, implements the above-described method for constructing a dynamic evaluation of a chess deduction system.
According to the embodiment of the application, the technical effect of the dynamic evaluation construction method of the own chess deduction system is that the statistical diversity problem of evaluation indexes of the own chess deduction system is solved, the evaluation header and the data content can be generated and adjusted according to the needs through interface configuration, code compiling is not needed, the system has strong applicability and expandability in the aspect of evaluating different indexes after deduction is finished, and the development and operation efficiency of the own chess deduction system in the aspects of evaluation index statistics and display is improved.
It should be noted that the foregoing detailed description is exemplary and is intended to provide further explanation of the invention. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments in accordance with the present application. As used herein, the singular is intended to include the plural unless the context clearly indicates otherwise. Furthermore, it will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, steps, operations, devices, components, and/or groups thereof.
It should be noted that the terms "first," "second," and the like in the description and claims of the present application and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein are capable of operation in sequences other than those illustrated or otherwise described herein.
Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those elements but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Spatially relative terms, such as "above … …," "above … …," "upper surface at … …," "above," and the like, may be used herein for ease of description to describe one device or feature's spatial location relative to another device or feature as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations in use or operation in addition to the orientation depicted in the figures. For example, if the device in the figures is turned over, elements described as "above" or "over" other devices or structures would then be oriented "below" or "beneath" the other devices or structures. Thus, the exemplary term "above … …" may include both orientations of "above … …" and "below … …". The device may also be positioned in other different ways, such as rotated 90 degrees or at other orientations, and the spatially relative descriptors used herein interpreted accordingly.
In the above detailed description, reference is made to the accompanying drawings, which form a part hereof. In the drawings, like numerals typically identify like components unless context indicates otherwise. The illustrated embodiments described in the detailed description, drawings, and claims are not meant to be limiting. Other embodiments may be utilized, and other changes may be made, without departing from the spirit or scope of the subject matter presented herein.
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (7)
1. The method for dynamically evaluating and constructing the chess deduction system is characterized by comprising the following steps of:
step 1: constructing an evaluation index system structure, and constructing a header, an evaluation data row and evaluation data items of the evaluation index system structure according to the need, wherein a plurality of evaluation data items are arranged in the evaluation data row, and the evaluation data items are related to data generated by deduction of a chess deduction system; the evaluation index architecture comprises a plurality of evaluation data lines according to the need, and the evaluation index architecture is associated with the evaluation data lines through an evaluation index architecture ID; the evaluation data row is associated with the evaluation data item through a data row ID; the method comprises the steps of carrying out type selection on an evaluation data row when the evaluation data row is constructed, constructing an evaluation data item according to the type of the evaluation data row, defining the attribute of the evaluation data item, and associating the attribute of the evaluation data item with corresponding data of a chess deduction system;
step 2: setting a precondition for the evaluation data item, and correlating the evaluation data item with the corresponding precondition, wherein the precondition is used for filtering corresponding data generated by deduction of the chess deduction system; the evaluation data items and the preconditions are associated through data item IDs corresponding to the evaluation data items, and each evaluation data item is provided with a plurality of preconditions;
step 3: and configuring an evaluation graph, and associating each evaluation graph item in the evaluation graph with the evaluation data item.
2. The method for constructing a dynamic evaluation of a chess deduction system according to claim 1, wherein the types of evaluation data lines include a plurality of lines, a single line, a statistics line, a summary statistics line and a sample line, wherein:
the multi-row finger directly acquires the data inserted by calculation from the evaluation data table;
the single row refers to data acquired from a process data table or a process history data table;
the statistical line can perform statistical operation on single line data or multiple lines of data;
the summary line can carry out loading calculation on data items in other evaluation index architectures;
the summarizing and counting line can carry out counting operation on the summarizing and counting line;
the sample row can calculate the average value of the evaluation data of N samples of the course selected by the chess deduction system.
3. The method for constructing dynamic evaluation of a chess deduction system according to claim 1, wherein the attributes of the evaluation data items include, but are not limited to, identification, data line ID, calculation type, grouping, field identification, query condition and expression, and the calculation type is used for defining the data acquisition mode of the evaluation data items.
4. The method for constructing dynamic evaluation of a chess deduction system according to claim 3, wherein the calculation types are six types of data table items, attribute items, history attribute items, calculation models, independent query items and calculation expression results, wherein:
the data table item indicates that the data of the evaluation data item is sourced from the evaluation index architecture;
the attribute item represents that the evaluation data item is derived from a process data table of a process selected by the evaluation system information display interface;
the history attribute item represents a process history data table of a process selected by the evaluation system information display interface from which the evaluation data item is derived;
the calculation model representation can be obtained by calculating the expression on the configured evaluation data item;
independent query term representation can be used for independently carrying out query calculation;
the placement of the computed expression results into the data set means that the results are placed into the evaluation data item after computation by the expression.
5. The method for constructing dynamic evaluation of a chess deduction system according to claim 1, wherein in step 3, the method further comprises selecting a chart type and defining chart attributes for the evaluation chart item, wherein the chart type at least comprises a histogram, a line graph, a pie chart and a radar chart, and the chart type is selected through a drop-down list; the chart attributes include, but are not limited to, identification, chart ID, legend data, Y-axis data, X-axis data, and X-axis type.
6. A server, comprising: a memory and at least one processor;
the memory stores a computer program, and the at least one processor executes the computer program stored in the memory to implement the method of dynamically evaluating and constructing a chess deduction system according to any one of claims 1 to 5.
7. A computer-readable storage medium, wherein a computer program is stored in the computer-readable storage medium, and when executed, the computer program implements the method for dynamically evaluating and constructing a chess deduction system according to any one of claims 1 to 5.
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| CN113627024A (en) * | 2021-08-13 | 2021-11-09 | 中国人民解放军32021部队 | Equipment efficiency evaluation method and device based on knowledge base rule reasoning |
| CN115906213A (en) * | 2022-11-08 | 2023-04-04 | 陈志明 | Editing method and system of visual chess evaluation statistical model |
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| CN113627024A (en) * | 2021-08-13 | 2021-11-09 | 中国人民解放军32021部队 | Equipment efficiency evaluation method and device based on knowledge base rule reasoning |
| CN115906213A (en) * | 2022-11-08 | 2023-04-04 | 陈志明 | Editing method and system of visual chess evaluation statistical model |
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| 计算机兵棋推演系统公共数据的建模与VV&C研究;韩志军;柳少军;唐宇波;吴琳;;系统仿真学报(第12期);全文 * |
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