CAJ | 학술논문

市场经济快速发展加速了企业转型进度,转型企业需要有效地吸收和转化新进入产业的知识,识别转型过程中存在的风险,积极促进企业正常转型。结合转型企业的组织特性以及企业特性,本文构建了转型企业知识转移的风险指标体系,引入BP神经网络算法,提出基于BP神经网络的转型企业知识转移风险评价模型,实验结果证明该算法能够很好地评估和预测企业知识转移面临的风险。
시장경제쾌속발전가속료기업전형진도,전형기업수요유효지흡수화전화신진입산업적지식,식별전형과정중존재적풍험,적겁촉진기업정상전형。결합전형기업적조직특성이급기업특성,본문구건료전형기업지식전이적풍험지표체계,인입BP신경망락산법,제출기우BP신경망락적전형기업지식전이풍험평개모형,실험결과증명해산법능구흔호지평고화예측기업지식전이면림적풍험。
The rapid development of market economy has accelerated the progress of enterprise transformation, transforma- tion of enterprises need to be effectively absorbed and transformed into the industry of new knowledge, the risk identification pro- cess in the transformation of enterprises, and actively promote the normal transformation. Combined with the characteristics of en- terprise organization transformation and the characteristics of enterprises, this paper constructed the trandormation of enterprise knowledge transfer risk index system, the introduction of BP neural network algorithm, the transfer of risk evaluation model of knowledge transformation of enterprises based on BP neural network, the experimental results showed that the algorithm is able to assess and forecast the risk of enterprise knowledge transfer.