Design and interactive performance of human resource management system based on artificial intelligence.
The purpose is to strengthen Human Resources Management (HRM) through information management using Artificial Intelligence (AI) technology. First, the selection criteria of the applicant's resume during recruitment and the formulation standards of the contract salary are analyzed. Then, the res...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2022-01-01
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| Series: | PLoS ONE |
| Online Access: | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0262398&type=printable |
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| _version_ | 1850144250978631680 |
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| author | Yangda Gong Min Zhao Qin Wang Zhihan Lv |
| author_facet | Yangda Gong Min Zhao Qin Wang Zhihan Lv |
| author_sort | Yangda Gong |
| collection | DOAJ |
| description | The purpose is to strengthen Human Resources Management (HRM) through information management using Artificial Intelligence (AI) technology. First, the selection criteria of the applicant's resume during recruitment and the formulation standards of the contract salary are analyzed. Then, the resume information is extracted and converted into the data-type format. Besides, the salary forecast model in the HRM system (HRMS) is designed based on the Back Propagation Neural Network (BPNN), and network structure, parameter initialization, and activation function of the BPNN are selected and optimized. The experimental results demonstrate that the algorithm optimized by the Nadm has shown improved convergence speed and forecast effect, with 187 iterations. Moreover, compared with other regression algorithms, the designed algorithm achieves the best test scores. The above results can provide references for designing the AI-based HRMS. |
| format | Article |
| id | doaj-art-8e0d1858eaa84b5a9b81ce3c8d5ac1cb |
| institution | OA Journals |
| issn | 1932-6203 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-8e0d1858eaa84b5a9b81ce3c8d5ac1cb2025-08-20T02:28:26ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01171e026239810.1371/journal.pone.0262398Design and interactive performance of human resource management system based on artificial intelligence.Yangda GongMin ZhaoQin WangZhihan LvThe purpose is to strengthen Human Resources Management (HRM) through information management using Artificial Intelligence (AI) technology. First, the selection criteria of the applicant's resume during recruitment and the formulation standards of the contract salary are analyzed. Then, the resume information is extracted and converted into the data-type format. Besides, the salary forecast model in the HRM system (HRMS) is designed based on the Back Propagation Neural Network (BPNN), and network structure, parameter initialization, and activation function of the BPNN are selected and optimized. The experimental results demonstrate that the algorithm optimized by the Nadm has shown improved convergence speed and forecast effect, with 187 iterations. Moreover, compared with other regression algorithms, the designed algorithm achieves the best test scores. The above results can provide references for designing the AI-based HRMS.https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0262398&type=printable |
| spellingShingle | Yangda Gong Min Zhao Qin Wang Zhihan Lv Design and interactive performance of human resource management system based on artificial intelligence. PLoS ONE |
| title | Design and interactive performance of human resource management system based on artificial intelligence. |
| title_full | Design and interactive performance of human resource management system based on artificial intelligence. |
| title_fullStr | Design and interactive performance of human resource management system based on artificial intelligence. |
| title_full_unstemmed | Design and interactive performance of human resource management system based on artificial intelligence. |
| title_short | Design and interactive performance of human resource management system based on artificial intelligence. |
| title_sort | design and interactive performance of human resource management system based on artificial intelligence |
| url | https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0262398&type=printable |
| work_keys_str_mv | AT yangdagong designandinteractiveperformanceofhumanresourcemanagementsystembasedonartificialintelligence AT minzhao designandinteractiveperformanceofhumanresourcemanagementsystembasedonartificialintelligence AT qinwang designandinteractiveperformanceofhumanresourcemanagementsystembasedonartificialintelligence AT zhihanlv designandinteractiveperformanceofhumanresourcemanagementsystembasedonartificialintelligence |