基于熵权法和神经网络的口岸物流综合能力评价方法研究

Evaluation of Port-logistics Capability Based on Entropy Weight and BP Neural Network

口岸物流综合能力的提高是当前口岸发展研究的热点和难点问题,而综合能力的提高首先需要准确的评价方法。为此采用了熵权法与BP神经网络法相结合的评价方法进行口岸物流综合能力评价研究,以熵权法确定了BP神经网络的训练样本和期望输出,以BP神经网络模型进行口岸物流综合能力的评价。以河口口岸7年的物流数据为实例进行验证,得到了河口口岸物流综合能力的发展水平评价,从而证明了该方法的有效性和实践应用价值。

To improve the comprehensive capability of port-logistics is a hot and difficult question. So a combined method of entropy theory and BP neural was applied to research the port-logistics. The theory of entropy weight was adopted to determine the training samples and expected output, and the comprehensive capability of port-logistics were obtained based on the trained BP neural network. Instance including 7 years＇ logistic data of Hekou port confirms the effectiveness and practical application value of the methods.