Construction and Implementation of a Human Resource Strategic Decision Model for Electric Power Enterprises Based on Data Mining and Machine Learning
With the rapid economic development,human resource strategies have become more popular,and they play a solid support role in the realization of corporate development strategies.In order to enable power supply companies to further adapt to the needs and trends of market development,and to provide power supply companies with support for strategic decision-mak-ing in human resources,this paper proposes to build a human resource strategic decision-making model based on machine learn-ing algorithms.Based on the analysis of the characteristics of power supply companies and the basic types of human resource strategies,the gray correlation method is used to screen out the primary selection indicators for strategic decision-making to form a strategic decision-making index system,and then the RNN network is used to build a strategic decision-making model.After continuous training of the model,the validity of the model is tested.The rationality of the constructed RNN network model is verified through the example of the power supply company.This not only makes the human resource strategic decision-making more scientific and effective,but also serves the power supply company.The modern management of the enterprise has made acertain contribution.
machine learningdecision indexstrategic decision modelRNNmodel construction
万方数据
维普
