Fuzzy-neural network traffic prediction framework with wavelet decomposition

被引：33
|
作者：
Xiao, H
Sun, HY
Ran, B
Oh, YT
机构：
[1] Univ Wisconsin, Dept Civil & Environm Engn, Madison, WI 53706 USA
[2] Ajou Univ, Coll Engn, Dept Transportat Engn, Suwon 442749, South Korea
来源：
INITIATIVES IN INFORMATION TECHNOLOGY AND GEOSPATIAL SCIENCE FOR TRANSPORTATION: PLANNING AND ADMINISTRATION | 2003年 / 1836期
关键词：
D O I：
10.3141/1836-03
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The framework of a traffic prediction model that could eliminate noise caused by random I travel conditions is investigated. This model also can quantitatively calculate the influence of special factors. The framework combined several artificial intelligence technologies, such as wavelet transform, neural network, and fuzzy logic. The wavelet denoising method is emphasized and analyzed.
引用
收藏
页码：16 / 20
页数：5
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