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Human Resource Planning and Configuration Based on Machine Learning

Human resources are the core resources of an enterprise, and the demand forecasting plays a vital role in the allocation and optimization of human resources. Starting from the basic concepts of human resource forecasting, this paper employs the backpropagation neural network (BPNN) and radial basis...

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Detalles Bibliográficos
Autores principales: Yuan, Shuai, Qi, Qian, Dai, Enliang, Liang, Yongfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8940544/
https://www.ncbi.nlm.nih.gov/pubmed/35330606
http://dx.doi.org/10.1155/2022/3605722
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author Yuan, Shuai
Qi, Qian
Dai, Enliang
Liang, Yongfeng
author_facet Yuan, Shuai
Qi, Qian
Dai, Enliang
Liang, Yongfeng
author_sort Yuan, Shuai
collection PubMed
description Human resources are the core resources of an enterprise, and the demand forecasting plays a vital role in the allocation and optimization of human resources. Starting from the basic concepts of human resource forecasting, this paper employs the backpropagation neural network (BPNN) and radial basis function neural network (RBFNN) to analyze human resource needs and determine the key elements of the company's human resource allocation through predictive models. With historical data as reference, the forecast value of current human resource demand is obtained through the two types of neural networks. Based on the prediction results, the company managers can carry out targeted human resource planning and allocation to improve the efficiency of enterprise operations. In the experiment, the actual human resource data of a certain company are used as the experimental basic samples to train and test the two types of machine learning tools. The experimental results show that the method proposed in this paper can effectively predict the number of personnel required and can support the planning and allocation of human resources.
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spelling pubmed-89405442022-03-23 Human Resource Planning and Configuration Based on Machine Learning Yuan, Shuai Qi, Qian Dai, Enliang Liang, Yongfeng Comput Intell Neurosci Research Article Human resources are the core resources of an enterprise, and the demand forecasting plays a vital role in the allocation and optimization of human resources. Starting from the basic concepts of human resource forecasting, this paper employs the backpropagation neural network (BPNN) and radial basis function neural network (RBFNN) to analyze human resource needs and determine the key elements of the company's human resource allocation through predictive models. With historical data as reference, the forecast value of current human resource demand is obtained through the two types of neural networks. Based on the prediction results, the company managers can carry out targeted human resource planning and allocation to improve the efficiency of enterprise operations. In the experiment, the actual human resource data of a certain company are used as the experimental basic samples to train and test the two types of machine learning tools. The experimental results show that the method proposed in this paper can effectively predict the number of personnel required and can support the planning and allocation of human resources. Hindawi 2022-03-15 /pmc/articles/PMC8940544/ /pubmed/35330606 http://dx.doi.org/10.1155/2022/3605722 Text en Copyright © 2022 Shuai Yuan et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yuan, Shuai
Qi, Qian
Dai, Enliang
Liang, Yongfeng
Human Resource Planning and Configuration Based on Machine Learning
title Human Resource Planning and Configuration Based on Machine Learning
title_full Human Resource Planning and Configuration Based on Machine Learning
title_fullStr Human Resource Planning and Configuration Based on Machine Learning
title_full_unstemmed Human Resource Planning and Configuration Based on Machine Learning
title_short Human Resource Planning and Configuration Based on Machine Learning
title_sort human resource planning and configuration based on machine learning
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8940544/
https://www.ncbi.nlm.nih.gov/pubmed/35330606
http://dx.doi.org/10.1155/2022/3605722
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AT qiqian humanresourceplanningandconfigurationbasedonmachinelearning
AT daienliang humanresourceplanningandconfigurationbasedonmachinelearning
AT liangyongfeng humanresourceplanningandconfigurationbasedonmachinelearning