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基于TS-BP算法的岗位配置与绩效预测模型构建

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人工智能的发展为企事业单位的人力岗位配置和绩效管理的进一步优化提供了更多更有效的手段.文中基于人工智能技术研究了人力岗位配置模式和绩效预测模型,阐述了人工智能与劳动关系之间的互动机制,并结合趋势预测模型和波动预测模型提出了基于TS-GABPNN预测方法的绩效预测模型,同时对模型的有效性和优越性进行了分析.结果表明,相对于GABPNN预测方法,基于TS-GABPNN的绩效预测模型具有一定的优越性,其对绩效指标预测的误差值在4%以内.
Construction of position allocation and performance prediction model based on TS-BP algorithm
With the development of artificial intelligence,more and more effective means have been provid-ed for the further optimization of human resource position allocation and performance management in enter-prises.This article is based on artificial intelligence technology,studying the human resource position allo-cation mode and performance prediction model,elaborating on the interaction mechanism between artificial intelligence and labor relations,and combining trend prediction model and fluctuation prediction model,proposing a performance prediction model based on TS-GABPNN prediction method.The effectiveness and superiority of the model are analyzed.The results indicate that compared to the GABPNN prediction meth-od,the performance prediction model based on TS-GABPNN has certain advantages,with an error value of less than 4%in predicting performance indicators.

artificial intelligencehuman resourceperformance managementTS-GABPNNprediction model

余玥、岳晓婧、张戈、张旸

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北京市科学技术研究院,北京 100089

人工智能 人力资源 绩效管理 TS-GABPNN 预测模型

2024

信息技术
黑龙江省信息技术学会 中国电子信息产业发展研究院 中国信息产业部电子信息中心

信息技术

CSTPCD
影响因子:0.413
ISSN:1009-2552
年,卷(期):2024.(12)