Abstract
The research on the relationship between human resource management activities and performance is an important topic of enterprise human resource management research. There are some errors between the relationship between human resource management activities and performance and the real situation, so it is impossible to accurately predict the performance fluctuation. Therefore, the relationship model between human resource management activities and performance based on the LMBP algorithm is constructed. Using the Levenberg–Marquardt (LM) algorithm and BP (back-propagation) neural network algorithm to establish a new LMBP algorithm, control the convergence of the new algorithm, optimize the accuracy of the algorithm, and then apply the LMBP algorithm to predict the risk of performance fluctuation under human resource management activities of enterprises, the indicators of human resource management activities of enterprises are determined, to complete the mining of enterprise performance data, the grey correlation analysis is combined, and the relationship model between human resource management activities and performance is built. The experimental samples are selected from CSMAR database, and the simulation experiment is designed. Using different algorithms to forecast the fluctuation of enterprise performance, the experimental results show that the LMBP algorithm can more accurately reflect the relationship between enterprise HRM and performance.
Highlights
With the development of market economies and the intensification of competition, enterprise performance has become the main aspect of competitive advantage
In reference [3], based on high-order theory and stakeholder theory, taking Chinese enterprises as the research object, this study tests the impact of executive human resource management commitment on enterprise environmental protection performance and financial performance and discusses the intermediary mechanism of green human resource management between the two. e results show that the executive human resource management commitment indirectly affects the environmental performance and financial performance of enterprises, and green human resource management plays an intermediary role in this process; enterprise scale positively regulates the relationship between executive human resource management commitment and green human resource management and positively regulates the intermediary role of green human resource management between executive human resource management commitment, environmental performance, Security and Communication Networks and financial performance
Reference [6] puts forward a new idea of two-stage discrimination of credit evaluation index combination screening, constructs an enterprise performance evaluation index system with stronger sensitivity and discrimination, and makes an empirical analysis using the credit data of 3111 small enterprises. e small enterprise performance index discrimination model based on two-stage logistic regression means that, firstly, the performance is divided into standard and nonstandard by logistic regression
Summary
With the development of market economies and the intensification of competition, enterprise performance has become the main aspect of competitive advantage. Reference [7] takes 15 listed companies in agriculture and animal husbandry in Shanghai and Shenzhen as the research object, selects 8 indicators reflecting the financial development of enterprises, and extracts 4 principal components by principal component analysis to evaluate the financial performance of enterprises. Based on the above research, a new relationship model between enterprise human resource management activities and performance based on LMBP algorithm is constructed. E innovation of the research is to design convergence control and precision control On this basis, the LMBP algorithm process is improved; based on LMBP algorithm, the relationship model between enterprise human resource management activities and performance is designed. E application effect of LMBP algorithm optimizes the literature method, which can more accurately reflect the relationship between enterprise human resource management activities and performance The LMBP algorithm process is improved; based on LMBP algorithm, the relationship model between enterprise human resource management activities and performance is designed. e application effect of LMBP algorithm optimizes the literature method, which can more accurately reflect the relationship between enterprise human resource management activities and performance
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