摘要
分析了Hoofueld神经网络在公路运输枢纽宏观布局中的应用,建立了反映公路运输枢纽特征的指标体系,利用主成分分析法,对原始输入指标变量群进行降维,利用Hopfield人工神经网络处理数据,进行公路运输枢纽宏观布局决策,并通过实例说明该方法的实现过程。
In this paper, we analyzed the application of the Hopfield neural network in highway transportation hub planning, established the index syslem that reflected the properties of the highway transportation network, used the PCA to reduce the dimension of the original input variables and the Hopfield artificial neural network to process the data, and finally demonstrated the realization of the method through an empirical example.
出处
《物流技术》
北大核心
2012年第11期190-194,共5页
Logistics Technology
