基于主成分——神经网络的江苏港口竞争力研究

Study on Jiangsu Port Competitiveness Based on Principal Component-Neural Networks

根据评价指标体系建立的原则,建立了港口竞争力评价指标体系;然后利用主成分分析方法对评价指标的因素之间进行了影响度分析,选取前三个比较大影响值;接着建立了神经网络评价港口竞争力模型,利用影响值比较大的三个影响值进行了港口竞争力评价;根据评价结果,验证了主成分-神经网络方法对评价港口竞争力可行性,并提出了江苏省港口提高竞争力的相应建议。

According to the principles of evaluation index system, establishes port competitiveness evaluation index system; Then uses methods of principal component analysis（PCA） to calculate the coefficient between factors, selects the first three coefficient of influence; Then the model of neural networks（NNs） to port competitiveness evaluation is established, port competitiveness is evaluated through the selected coefficient; According to results of the evaluations,the method of PCA-NNs is feasible for evaluating port competitiveness, and put forward strategies to improve the competitiveness of Jiangsu Ports with the evaluation results.