Abstract
Human resource management involves a variety of data processing, and the process is complicated. In order to improve the effect of human resource management, this paper combines BP neural network and logistic regression analysis to construct an intelligent human resource management system and uses backpropagation learning to adjust training errors and determine connection weights. Moreover, this paper estimates the probability of a certain event through regression analysis, predicts and analyzes the human resource management process, and builds an intelligent human resource management system with the support of joint algorithms. In order to explore the reliability of the joint algorithm proposed in this paper, the effectiveness of the algorithm proposed in this paper is verified through simulation tests. The experimental research results show that the human resource management system based on BP neural network and logistic regression proposed in this paper has good practical effects.
Highlights
IntroductionWith the development of the market economy, the competition between enterprises has shown an increasingly fierce situation, and this kind of competition between enterprises is largely a competition for outstanding talents and human resources
In order to achieve sustainable, healthy, and rapid development of enterprises, it is necessary to return to improving the level of human resource management, thereby enhancing the core competitiveness of modern enterprises themselves
With the integration of the world and economic globalization, in order to gain a place in the competition of modern society, companies need to reserve a large number of composite talents of various types of technology, management, and operation, but more importantly need to make full use of these human resources and effectively manage and rationally use these human resources to maximize their benefits [1]. erefore, the management and development of human resources has very important practical significance in modern enterprises. e concept of human resource management first originated in Western countries and spread to China
Summary
With the development of the market economy, the competition between enterprises has shown an increasingly fierce situation, and this kind of competition between enterprises is largely a competition for outstanding talents and human resources For this reason, great attention should be paid to the management of human resources. In order to achieve sustainable, healthy, and rapid development of enterprises, it is necessary to return to improving the level of human resource management, thereby enhancing the core competitiveness of modern enterprises themselves. E concept of human resource management first originated in Western countries and spread to China Since it has not been a long time to enter the country, domestic enterprises are still in a stage of promotion and application in terms of human resources, and their maturity and perfection in this regard need to be improved. Is article combines BP neural network and logistic regression analysis to build an intelligent human resource management system and applies intelligent management methods to human resource management to improve the efficiency of human resource management
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