基于Hopfield神经网络的煤炭企业竞争力评价

Coal Enterprise Competitiveness Evaluation Based on Hopfield Neural Network

论文首先建立煤炭企业评价体系,之后在专业评价数据的基础上采用层次分析法确定各评价因素的权重以建立Hopfield神经网络,根据这些评价指标权重在此网络中进行初态向稳态收敛的训练,实现联想记忆的功能,进而完成对企业的动态评价,为企业决策者以及用户提供相关信息依据。

The article established the evaluation system of coal enterprises, then using AHP to determine the weight of each evaluation factors to establish a Hopfield neural network initial state to steady convergence of training, realize the func- tion of asssciative memory and complete the dynamic evaluation to provide relevant information for corporate decision makers and users.