Prediction Research of Highway Traveling Passenger Volume Based on Wavelet Neural Network

被引：0

作者：

Li, Tinggui ^{[1
]}

Wang, Li ^{[1
]}

机构：

[1] Luzhou Vocat & Tech Coll, Sichuan Luzhou 646005, Peoples R China

来源：

FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY III, PTS 1-3 | 2013年 / 401卷

关键词：

highway traveling passenger volume; wavelet neural network; prediction model;

D O I：

10.4028/www.scientific.net/AMM.401-403.1401

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Aiming at the problem that it is difficult to predict the highway traveling passenger volume (HTPV), a new prediction model of HTPV based on wavelet neural network (WNN) is proposed. A case study is given to verify the proposed model. The simulation results show that the WNN model has higher convergence speed and prediction precision than the traditional BP neural network model (TBPNNM), and has more practical values.

引用

页码：1401 / 1405

页数：5

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