Skilled talent evaluation method based on factor analysis and BP neural networks

A technology of BP neural network and factor analysis method, applied in neural learning methods, biological neural network models, instruments, etc., can solve the problems of not being objective enough, high cost, low efficiency, etc.

Inactive Publication Date: 2016-05-18
YUNNAN POWER GRID
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Problems solved by technology

[0003] The existing talent evaluation method is based on the analytic hierarchy process. Relevant experts are hired to evaluate the talent evaluation indicators. When establishing the evaluation model, the talent evaluation results are obtained by determining the weight of each index. This is a linear evaluation model. Experts with rich experience in the industry evaluate the indicators, the cost is high, the efficiency is

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  • Skilled talent evaluation method based on factor analysis and BP neural networks
  • Skilled talent evaluation method based on factor analysis and BP neural networks
  • Skilled talent evaluation method based on factor analysis and BP neural networks

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[0058] Example 1

[0059] In the embodiment of the present invention, a method for evaluating skilled talents based on factor analysis and BP neural network, the steps are as follows:

[0060] 1. Related data collection:

[0061] As a technology-intensive enterprise with high risk and high investment, take Yunnan Power Grid Company as an example. In order to build a skilled talent evaluation system objectively and efficiently and reflect the advantages of big data technology in this field, it is necessary to collect as much relevant data as possible, and then use certain technical methods to find evaluation indicators that have potential impact on talent evaluation. In order to avoid omissions and ensure the systematicness of data collection, the data related to the evaluation of skilled talents is classified. A brief example is shown in Table 1. The initial data collected should basically cover the factors that have an impact on talent evaluation, so as to construct a full data se...

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Abstract

The invention discloses a skilled talent evaluation method based on factor analysis and BP neural networks. The skilled talent evaluation method is characterized in that evaluation index data related to skilled talent evaluation can be acquired, and a total-amount data set can be established; the character-type variables of the total-amount data set can be converted into the numeric-type variables, and then the values of the numeric-type variables can be mapped in a range from 0 to 1 by adopting Sigmoid functions; an evaluation index or an evaluation index combination of the evaluation index can be determined to be participated in the talent evaluation modeling by adopting the above mentioned factor analysis method; the Sigmoid functions can be used as the input vectors of the BP neural networks after being processed, and the task of the BP neural networks is to realize the evaluation of the skilled talent after being trained; and the strategies of different category samples can be trained respectively by adopting a plurality of BP neural networks, and the L-M optimization algorithm can be used to replace the gradient descent method. The skilled talent evaluation method is advantageous in that the skilled talent evaluation costs can be saved, the human resource working efficiency can be improved, and the talent evaluation is more objective and accurate.

Description

technical field [0001] The invention relates to an evaluation method, in particular to a method for evaluating skilled personnel based on factor analysis and BP neural network. Background technique [0002] Skilled talents, as part of scientific and technological talents, are indispensable to the daily operation of enterprises, are crucial to the development of technology-intensive enterprises, and are an important support for the power grid industry. A scientific talent evaluation system is also the prerequisite for the effective development of human resources and the basis for carrying out personnel work. For a long time, the evaluation of technical talents has been more limited to vocational skills appraisal and competition. The evaluation and selection of technical and skilled talents has the shortcomings of "single standard and ignoring the potential of employees." To comprehensively evaluate skilled talents, it is not only necessary to establish a comprehensive evalua...

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Application Information

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IPC IPC(8): G06Q10/06G06N3/08
CPCG06Q10/06398G06N3/086G06Q10/06393
Inventor 段勇方俊秦乐张云钢
Owner YUNNAN POWER GRID
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