Application Analysis of Combining BP Neural Network and Logistic Regression in Human Resource Management System | Zendy

Ting Xiang | Zendy; Ping Zhen Wu | Zendy; Shihai Yuan | Zendy

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Application Analysis of Combining BP Neural Network and Logistic Regression in Human Resource Management System

Author(s) -

Ting Xiang,

Ping Zhen Wu,

Shihai Yuan

Publication year - 2022

Publication title -

computational intelligence and neuroscience

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.605

H-Index - 52

eISSN - 1687-5273

pISSN - 1687-5265

DOI - 10.1155/2022/7425815

Subject(s) - computer science , artificial neural network , logistic regression , backpropagation , data mining , machine learning , resource management (computing) , artificial intelligence , reliability (semiconductor) , human resource management , construct (python library) , process (computing) , resource (disambiguation) , knowledge management , distributed computing , computer network , power (physics) , physics , quantum mechanics , programming language , operating system

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.

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