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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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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. |
format | Online Article Text |
id | pubmed-8940544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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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