基于深度学习的企业人力资源管理风险预测

IF 1.5 Q3 MANAGEMENT
Min Ding, Hao Wu
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引用次数: 0

摘要

背景:传统企业人力资源管理中风险预测的效率和准确性已不能满足实际需求。针对这一不足,本研究提出了一种基于深度学习的企业人力资源管理风险智能预测模型。方法:本研究完成两项任务。首先,在现有研究成果的基础上,结合企业人力资源管理现状,构建并精简了人力资源管理风险评估体系。其次,针对反向传播神经网络(BPNN)模型的缺陷,采用海鸥优化算法(SOA)对其进行优化,并引入鲸鱼优化算法(WOA)对其全局搜索能力较弱且容易过早收敛的问题进行推广。结果:通过简化人力资源风险评估系统,并使用SOA算法优化BPNN,构建了一个基于ISOA-BPNN的人力资源风险智能预测模型。结果表明,ISOA-BPNN模型的误差值为0.02,损失值为0.50,F1值为95.7%,召回率为94.9%,MSE值为0.31,MAE值为8.4,准确率为99.53%,均优于其他两个模型。结论:总之,基于ISOA-BPNN构建的人力资源管理风险智能预测模型的研究具有较高的准确性和效率,可以有效地实现人力资源管理的风险智能预测,对企业发展具有积极意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk prediction of enterprise human resource management based on deep learning
BACKGROUND: The efficiency and accuracy of risk prediction in traditional enterprise human resource management (HRM) cannot meet practical needs. In response to this deficiency, this study proposes an enterprise HRM risk intelligent prediction model based on deep learning. METHODS: Two tasks were completed in this study. First, based on the existing research results and the current status of enterprise HRM, the HRM risk assessment system is constructed and streamlined. Second, for the defects of Back Propagation Neural Network (BPNN) model, Seagull Optimization Algorithm (SOA) is used to optimize it. The Whale Optimization Algorithm (WOA) is introduced to promote the SOA for its weak global search capability and its tendency to converge prematurely. RESULTS: By simplifying the HR risk assessment system and optimizing the BPNN using the SOA algorithm, an intelligent HRM risk prediction model based on the ISOA-BPNN was constructed. The results show that the error value of the ISOA-BPNN model is 0.02, the loss value is 0.50, the F1 value is 95.7%, the recall value is 94.9%, the MSE value is 0.31, the MAE value is 8.4, and the accuracy is 99.53%, both of which are superior to the other two models. CONCLUSIONS: In summary, the study of the HRM risk intelligent prediction model constructed based on ISOA-BPNN has high accuracy and efficiency, which can effectively achieve HRM risk intelligent prediction and has positive significance for enterprise development.
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来源期刊
CiteScore
3.50
自引率
30.40%
发文量
56
期刊介绍: Human Systems Management (HSM) is an interdisciplinary, international, refereed journal, offering applicable, scientific insight into reinventing business, civil-society and government organizations, through the sustainable development of high-technology processes and structures. Adhering to the highest civic, ethical and moral ideals, the journal promotes the emerging anthropocentric-sociocentric paradigm of societal human systems, rather than the pervasively mechanistic and organismic or medieval corporatism views of humankind’s recent past. Intentionality and scope Their management autonomy, capability, culture, mastery, processes, purposefulness, skills, structure and technology often determine which human organizations truly are societal systems, while others are not. HSM seeks to help transform human organizations into true societal systems, free of bureaucratic ills, along two essential, inseparable, yet complementary aspects of modern management: a) the management of societal human systems: the mastery, science and technology of management, including self management, striving for strategic, business and functional effectiveness, efficiency and productivity, through high quality and high technology, i.e., the capabilities and competences that only truly societal human systems create and use, and b) the societal human systems management: the enabling of human beings to form creative teams, communities and societies through autonomy, mastery and purposefulness, on both a personal and a collegial level, while catalyzing people’s creative, inventive and innovative potential, as people participate in corporate-, business- and functional-level decisions. Appreciably large is the gulf between the innovative ideas that world-class societal human systems create and use, and what some conventional business journals offer. The latter often pertain to already refuted practices, while outmoded business-school curricula reinforce this problematic situation.
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