BP神经网络主成分分析法在交通需求预测中的应用

Application of Principal Component Analysis Method in BP Neural Network to Traffic Demand Predication

主要介绍用主成分分析法对输入变量进行预处理的方法 .解决了由于输入变量过多所造成的 BP神经网络系统效率下降的问题 .用实例证明 ,BP神经网络主成分分析法模型在模拟预测中与一般的

The paper introduces the method handled on input variables in advance by the principle component analysis. The problem of the inefficiency in BP neural network owing to excessive input variables has been solved. Proved by example, the model of principal component analysis method in BP neural network has better effect than that of common BP neural network model in the course of the simulated predication.