CN110033160A - A kind of performance appraisal system and method - Google Patents
A kind of performance appraisal system and method Download PDFInfo
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- CN110033160A CN110033160A CN201910145746.4A CN201910145746A CN110033160A CN 110033160 A CN110033160 A CN 110033160A CN 201910145746 A CN201910145746 A CN 201910145746A CN 110033160 A CN110033160 A CN 110033160A
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- 238000012360 testing method Methods 0.000 claims abstract description 25
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- 238000013528 artificial neural network Methods 0.000 claims abstract description 19
- 238000011156 evaluation Methods 0.000 claims abstract description 14
- 230000001537 neural effect Effects 0.000 claims abstract description 11
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06398—Performance of employee with respect to a job function
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Abstract
The present invention relates to a kind of performance appraisal system and method, system is comprised the following modules, neural metwork training module, is used to be trained neural network by training sample corresponding to performance type to be measured, is generated the performance appraisal model of corresponding types；Performance appraisal module is used to analyze testing data corresponding to performance type to be measured using the performance appraisal model, obtains performance evaluation results.The present invention passes through neural metwork training, it can be concluded that different types of performance appraisal model, and performance appraisal is carried out by performance appraisal model, a plurality of types of performance appraisal systems can be established to avoid because of estimation standard disunity, reduce the expense of enterprise, and such performance is examined using a performance appraisal system, so that performance appraisal becomes simple and convenient.
Description
Technical field
The present invention relates to performance appraisal fields, and in particular to a kind of performance appraisal system and method.
Background technique
Performance appraisal is one of core function of human resource management, refer to evaluation person with science method, standard and
Program, to behavioral agent performance information related with evaluation task (achievement, achievement and really as etc.) observed, received
Collection tissue, storage, extracts, integration, and makes the process of accurate evaluation as far as possible.It is a link in enterprise performance management.
Enterprise is different to the estimation standard of different personnel, if required a great deal of time and manpower by manual evaluation,
If checked and rated by establishing system, need to establish different types of appraisal system, increase the expense of enterprise, and multiple examines
Systematic difference is commented to increase the complexity of examination.
Summary of the invention
Technical problem to be solved by the invention is to provide a kind of performance appraisal system and methods, can be a variety of to avoid establishing
Different types of appraisal system.
The technical scheme to solve the above technical problems is that a kind of performance appraisal system, comprises the following modules,
Neural metwork training module is used to carry out neural network by training sample corresponding to performance type to be measured
Training, generates the performance appraisal model of corresponding types；
Performance appraisal module is used for using the performance appraisal model to testing data corresponding to performance type to be measured
It is analyzed, obtains performance evaluation results.
The beneficial effects of the present invention are: the present invention passes through neural metwork training, it can be deduced that different types of performance appraisal
Model, and performance appraisal is carried out by performance appraisal model, it can be a plurality of types of to avoid being established because of estimation standard disunity
Performance appraisal system is reduced the expense of enterprise, and is examined using a performance appraisal system to such performance, is made
Obtaining performance appraisal becomes simple and convenient.
Based on the above technical solution, the present invention can also be improved as follows.
Further, further include performance appraisal model accuracy detection module, be used to will test sample and be input to the nerve
In the corresponding performance appraisal model that network training module generates, performance appraisal testing result is obtained, and by the performance appraisal
Testing result and default performance evaluation results carry out threshold value comparison, and judge the performance appraisal mould according to the result of threshold value comparison
Whether type is correct.
Further, further include performance appraisal Modifying model module, be used to detect mould in the performance appraisal model accuracy
Block detects in the incorrect situation of performance appraisal model, and assessment model is imitated according to the modified result of threshold value comparison.
Further, the neural network is specially BP neural network.
Based on a kind of above-mentioned performance appraisal system, the present invention also provides a kind of performance appraisal methods.
A kind of performance appraisal method, includes the following steps,
S1 is trained neural network by training sample corresponding to performance type to be measured, generates corresponding types
Performance appraisal model；
S2 analyzes testing data corresponding to performance type to be measured using the performance appraisal model, obtains achievement
Imitate appraisal result.
The beneficial effects of the present invention are: the present invention passes through neural metwork training, it can be deduced that different types of performance appraisal
Model, and performance appraisal is carried out by performance appraisal model, it can be a plurality of types of to avoid being established because of estimation standard disunity
Performance appraisal system is reduced the expense of enterprise, and is examined using a performance appraisal system to such performance, is made
Obtaining performance appraisal becomes simple and convenient.
Based on the above technical solution, the present invention can also be improved as follows.
Further, further include S11 after the S1, will test sample and be input in performance appraisal model, obtain performance appraisal
Testing result, and the performance appraisal testing result and default performance evaluation results are subjected to threshold value comparison, and according to threshold value ratio
Compared with result judge whether the performance appraisal model correct.
It further, further include S12, in the case where detecting the incorrect situation of performance appraisal model, according to threshold value comparison
Modified result described in imitate assessment model.
Further, the neural network is specially BP neural network.
Detailed description of the invention
Fig. 1 is a kind of structural block diagram of performance appraisal system of the present invention；
Fig. 2 is a kind of flow chart of performance appraisal method of the present invention.
Specific embodiment
The principle and features of the present invention will be described below with reference to the accompanying drawings, and the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the invention.
As shown in Figure 1, a kind of performance appraisal system, comprises the following modules,
Neural metwork training module is used to carry out neural network by training sample corresponding to performance type to be measured
Training, generates the performance appraisal model of corresponding types；
Performance appraisal module is used for using the performance appraisal model to testing data corresponding to performance type to be measured
It is analyzed, obtains performance evaluation results.
The present invention passes through neural metwork training, it can be deduced that different types of performance appraisal model, and pass through performance appraisal
Model carries out performance appraisal, can establish a plurality of types of performance appraisal systems to avoid because of estimation standard disunity, reduces enterprise
The expense of industry, and such performance is examined using a performance appraisal system, so that performance appraisal becomes simple
It is convenient.
Preferably, system of the invention further includes performance appraisal model accuracy detection module, is used to will test sample defeated
Enter in the corresponding performance appraisal model generated to the neural metwork training module, obtains performance appraisal testing result, and will
The performance appraisal testing result and default performance evaluation results carry out threshold value comparison, and judge institute according to the result of threshold value comparison
Whether correct state performance appraisal model.
Preferably, system of the invention further includes performance appraisal Modifying model module, is used in the performance appraisal mould
Type accuracy detection module detects in the incorrect situation of performance appraisal model, according to the modified result of threshold value comparison
Imitate assessment model.
Performance appraisal model accuracy detection module and performance appraisal Modifying model module can guarantee the precision of performance appraisal,
So that appraisal result is more accurate.
Preferably, the neural network is specially BP neural network.
Based on a kind of above-mentioned performance appraisal system, the present invention also provides a kind of performance appraisal methods.
As shown in Fig. 2, a kind of performance appraisal method, includes the following steps,
S1 is trained neural network by training sample corresponding to performance type to be measured, generates corresponding types
Performance appraisal model；
S2 analyzes testing data corresponding to performance type to be measured using the performance appraisal model, obtains achievement
Imitate appraisal result.
The present invention passes through neural metwork training, it can be deduced that different types of performance appraisal model, and pass through performance appraisal
Model carries out performance appraisal, can establish a plurality of types of performance appraisal systems to avoid because of estimation standard disunity, reduces enterprise
The expense of industry, and such performance is examined using a performance appraisal system, so that performance appraisal becomes simple
It is convenient.
Preferably, further include S11 after the S1, will test sample and be input in performance appraisal model, obtain performance appraisal
Testing result, and the performance appraisal testing result and default performance evaluation results are subjected to threshold value comparison, and according to threshold value ratio
Compared with result judge whether the performance appraisal model correct.
It preferably, further include S12, in the case where detecting the incorrect situation of performance appraisal model, according to threshold value comparison
Modified result described in imitate assessment model.
Preferably, the neural network is specially BP neural network.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and
Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (8)
1. a kind of performance appraisal system, it is characterised in that: it comprises the following modules,
Neural metwork training module is used to instruct neural network by training sample corresponding to performance type to be measured
Practice, generates the performance appraisal model of corresponding types；
Performance appraisal module is used to carry out testing data corresponding to performance type to be measured using the performance appraisal model
Analysis, obtains performance evaluation results.
2. a kind of performance appraisal system according to claim 1, it is characterised in that: further include the inspection of performance appraisal model accuracy
Module is surveyed, is used to will test sample and is input in the corresponding performance appraisal model that the neural metwork training module generates,
Performance appraisal testing result is obtained, and the performance appraisal testing result and default performance evaluation results are subjected to threshold value comparison,
And judge whether the performance appraisal model is correct according to the result of threshold value comparison.
3. a kind of performance appraisal system according to claim 2, it is characterised in that: further include performance appraisal Modifying model mould
Block is used in the case where the performance appraisal model accuracy detection module detects the incorrect situation of performance appraisal model,
Assessment model is imitated according to the modified result of threshold value comparison.
4. a kind of performance appraisal system according to any one of claims 1 to 3, it is characterised in that: the neural network tool
Body is BP neural network.
5. a kind of performance appraisal method, it is characterised in that: include the following steps,
S1 is trained neural network by training sample corresponding to performance type to be measured, generates the performance of corresponding types
Assessment model；
S2 analyzes testing data corresponding to performance type to be measured using the performance appraisal model, show that performance is examined
Comment result.
6. a kind of performance appraisal method according to claim 5, it is characterised in that: further include S11 after the S1, will test
Sample is input in performance appraisal model, obtains performance appraisal testing result, and by the performance appraisal testing result and preset
Performance evaluation results carry out threshold value comparison, and judge whether the performance appraisal model is correct according to the result of threshold value comparison.
7. a kind of performance appraisal method according to claim 6, it is characterised in that: further include S12, detecting the achievement
It imitates in the incorrect situation of assessment model, assessment model is imitated according to the modified result of threshold value comparison.
8. according to a kind of described in any item performance appraisal methods of claim 5 to 7, it is characterised in that: the neural network tool
Body is BP neural network.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110751374A (en) * | 2019-09-26 | 2020-02-04 | 中电万维信息技术有限责任公司 | Electronic government affair assessment method based on neural network and related equipment |
| CN111078870A (en) * | 2019-11-18 | 2020-04-28 | 平安金融管理学院(中国·深圳) | Evaluation data processing method, evaluation data processing device, evaluation data processing medium, and computer device |
| CN112101918A (en) * | 2020-11-19 | 2020-12-18 | 深圳市维度数据科技股份有限公司 | Performance assessment method and system |
| CN112749513A (en) * | 2021-01-22 | 2021-05-04 | 北京中天鹏宇科技发展有限公司 | Intelligent system method of power module |
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| CN106971206A (en) * | 2017-04-13 | 2017-07-21 | 广东工业大学 | A kind of care actions wire examination method and system |
| CN109214446A (en) * | 2018-08-27 | 2019-01-15 | 平安科技（深圳）有限公司 | Potentiality good performance personnel kind identification method, system, terminal and computer readable storage medium |
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- 2019-02-27 CN CN201910145746.4A patent/CN110033160A/en active Pending
Patent Citations (4)
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| US20060282306A1 (en) * | 2005-06-10 | 2006-12-14 | Unicru, Inc. | Employee selection via adaptive assessment |
| CN105590175A (en) * | 2016-02-15 | 2016-05-18 | 云南电网有限责任公司 | Skilled talent evaluation method based on factor analysis and BP neural networks |
| CN106971206A (en) * | 2017-04-13 | 2017-07-21 | 广东工业大学 | A kind of care actions wire examination method and system |
| CN109214446A (en) * | 2018-08-27 | 2019-01-15 | 平安科技（深圳）有限公司 | Potentiality good performance personnel kind identification method, system, terminal and computer readable storage medium |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110751374A (en) * | 2019-09-26 | 2020-02-04 | 中电万维信息技术有限责任公司 | Electronic government affair assessment method based on neural network and related equipment |
| CN111078870A (en) * | 2019-11-18 | 2020-04-28 | 平安金融管理学院(中国·深圳) | Evaluation data processing method, evaluation data processing device, evaluation data processing medium, and computer device |
| CN112101918A (en) * | 2020-11-19 | 2020-12-18 | 深圳市维度数据科技股份有限公司 | Performance assessment method and system |
| CN112749513A (en) * | 2021-01-22 | 2021-05-04 | 北京中天鹏宇科技发展有限公司 | Intelligent system method of power module |
| CN112749513B (en) * | 2021-01-22 | 2023-12-15 | 北京中天鹏宇科技发展有限公司 | Intelligent unified method of power supply module |
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