基于Hopfield神经网络的企业竞争力评价模型

Evaluation Model on Competitive Power of Enterprise Based on Hopfield Neural Networks

在专家评价数据基础上,针对企业竞争力评价的非线性特征以及竞争力评估体系中存在的诸多非定量因素,建立企业竞争力评价的Hopfield神经网络模型。评价模型可以根据专家打分对已有评价体系中的主观性因素进行量化,并利用神经网络的联想与记忆功能进行量化评价的计算。该模型较已有的评价体系具有更高的计算效率。利用Hopfield神经网络进行企业竞争力评价的方法可操作性强,可以克服传统评价方法主观性过强的缺点,具有较广泛的实用性。

Considering the nonlinear characteristics of competitive power evaluation and the existence of many non-quantitative factors in the evaluation system,a Hopfield neural network model of evaluation on competitive power was built in this paper according to the evaluating data given by the experts.By utilizing the properties of association and memory of neural network that can approximate any nonlinear continuous function,the model can calculate quantified evaluation and has higher efficiency than that of existing evaluation system.The method of applying Hopfield neural network to competitive power evaluation can overcome subjective factors in the process of expert assessment,avoid complex process of traditional competitive power evaluation and also has broad applicability.