RETRACTED: Design and interactive performance of human resource management system based on artificial intelligence (Retracted article. See vol. 20, 2025)

被引：15

作者：

Gong, Yangda ^{[1
]}

Zhao, Min ^{[1
]}

Wang, Qin ^{[2
]}

Lv, Zhihan ^{[3
]}

机构：

[1] Hohai Univ, Sch Business, Nanjing, Peoples R China

[2] Jiangsu Branch China Mobile Grp, Nanjing, Peoples R China

[3] Qingdao Univ, Sch Data Sci & Software Engn, Qingdao, Peoples R China

来源：

PLOS ONE | 2022年 / 17卷 / 01期

基金：

中国国家自然科学基金;

关键词：

GREEN; EMPLOYEES; BEHAVIOR; NEXUS;

D O I：

10.1371/journal.pone.0262398

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：20

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