基于减聚类模糊神经网络的企业创新人才全面孵化管理评价研究  

Research on Evaluation of Total Incubation Management of Enterprise Innovative Talent Based on Subtractive Cluster Fuzzy Neural Network

作　　者：戴福祥 王朝 赵富强[2] DAI Fuxiang;WANG Chao;ZHAO Fuqiang(Graduate School,Wuhan University of Technology,Wuhan 430070,China;不详)

机构地区：[1]武汉理工大学研究生院,湖北武汉430070 [2]武汉理工大学管理学院,湖北武汉430070

出　　处：《武汉理工大学学报（信息与管理工程版）》2021年第2期192-196,共5页Journal of Wuhan University of Technology：Information & Management Engineering

基　　金：国家社会科学基金项目(20FGL047).

摘　　要：为提升创新人才全面孵化管理,促进企业可持续发展,对企业创新人才内涵进行分类并分析了全面孵化管理的内涵,构建了企业创新人才全面孵化管理概念模型,设计了基于减聚类模糊神经网络(SC-FNN)的企业创新人才全面孵化管理(TIM)评价体系,可为企业创新人才的全面孵化管理提供理论依据与决策借鉴。In order to enhance total incubation management of innovative talents and sustainable development of enterprises,this study firstly scientifically defined the connotation and classification of enterprise innovative talents and the connotation of total incubation management.Secondly,the paper constructed the conceptual model of total incubation management of enterprise innovative talents.Finally,the research designed the evaluation system of total incubation management of enterprise innovative talents based on fuzzy subtractive cluster neural network method.Therefore,the research conclusions can provide theoretical basis and decision-making reference for the incubation management of innovative talents.

关 键 词：减聚类模糊神经网络(SC-FNN) 企业创新人才 全面孵化管理(TIM) EIPO评价模型 

分 类 号：C936[经济管理—管理学] C962