Abstract
In this paper, RNN (Recurrent Neural Network) algorithm is used to conduct an in-depth analysis of HR strategic decision-making and an HR strategic decision model is constructed for simulation. The four evaluation dimensions of index screening are extracted, the generalized gray correlation analysis is applied to screen the initial selection indexes of HR strategic decision-making, and then the HR strategic decision-making index system of power supply enterprises is constructed. On this basis, the applicability of the BP neural network in HR strategic decision-making is analysed and demonstrated, a BP neural network-based HR strategic decision-making model for power supply enterprises is constructed, and the rationality of the model is illustrated through the model training and testing. Finally, an empirical study is conducted with S power supply company as an example to illustrate the operability of the BP network model for HR strategic decision-making. The results of this paper provide a scientific basis for human resource decision-making in power supply enterprises and provide theoretical support for promoting the healthy development of power supply enterprises. Improving the level of human resource management can make fuller use of human resources and realize the strategic goals of the enterprise. A strategy for optimizing the training of hybrid convolutional neural networks is proposed, using an exponential linear unit activation function to solve the problem of neuron dead zones, a hybrid pooling strategy is used to improve the problem of feature information loss in maximum pooling processing, and an improved cross-entropy loss function is used to solve the problem of insufficient learning of difficult classification samples. The optimization of the model training process is finally completed, and the recommendation quality is improved. The Bayesian probability distribution table is learned to be filled in the expert data set; finally, the accuracy and effectiveness of the model are tested on the experimental platform. The results of the experiments show that the established Bayesian model beats the platform’s built-in intelligent method with a 78.2% win rate. That is, the model can make intelligent recommendations for strategies in staffed and unmanned platform decision-making and command-and-control combat units to execute tactical actions to achieve the best operational effectiveness.
Highlights
Human resource strategy has a supportive role in the realization of business development strategies, and with the development of the economy, human resource strategy has received a great deal of attention from a wide range of scholars and business managers. e complexity and variability of the environment have gradually led to the understanding that competition in all socioeconomic activities has changed into competition for human resources [1]
Modern human resource strategy pays more Journal of Mathematics attention to the strategic position of human resources in the enterprise, and talent quality and workforce development are regarded as holistic concepts, so it seems that making good strategic human resource decisions becomes an important thing for the enterprise. is paper introduces artificial neural networks into HR strategic decision-making, which will enrich HRM theory and expand the application field of artificial neural network methods [2]
Development refers to the smooth implementation of HR strategy and the sustainable development of the HR team, which is reflected in the optimization of HR quantity, improvement of quality, and reasonable structure. e human resource team is the main body of the implementation of human resource strategy, and a lower level of human resource team will hinder the implementation of human resource strategy, while a higher level of human resource strategy will cause excessive consumption of human resource team and weaken the overall strength. erefore, the sustainability of the human resources workforce should not be ensured at the expense of its continuous development and the blind pursuit of short-term benefits
Summary
Human resource strategy has a supportive role in the realization of business development strategies, and with the development of the economy, human resource strategy has received a great deal of attention from a wide range of scholars and business managers. e complexity and variability of the environment have gradually led to the understanding that competition in all socioeconomic activities has changed into competition for human resources [1]. With rapid economic development and rapid changes in the internal and external environment faced by enterprises, enterprises must be able to respond quickly to environmental changes, make timely responses, and make quick decisions It is the random data formed by a certain variable or multiple variables at different moments, reflecting the development and change law of the phenomenon: randomness, continuity, and periodicity. As in the primary stage of socialism, influenced by the semifeudal and semicolonial history, the history of the emergence and development of enterprises is relatively short, and the play of the role of implicit human capital possessed by individuals and organizations within enterprises has an immeasurable impact on enhancing the core competitiveness of enterprises. Looking at the overall situation of employee turnover rate, it is basically maintained at a relatively reasonable level and is lower than the industry average
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