Fuzzy modeling of traffic noise annoyance

被引：0
|
作者：
Verkeyn, A [1 ]
Botteldooren, D [1 ]
De Tre, G [1 ]
De Caluwe, R [1 ]
机构：
[1] Univ Ghent, Dept Informat Technol, B-9000 Ghent, Belgium
来源：
JOINT 9TH IFSA WORLD CONGRESS AND 20TH NAFIPS INTERNATIONAL CONFERENCE, PROCEEDINGS, VOLS. 1-5 | 2001年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper presents a fuzzy rule based model for the prediction of traffic noise annoyance. Several inference schemes are compared for their performance in prediction capabilities as well as in speed. It is shown that the fastest implementation does an equally good job, after optimization of certainty degrees attached to the rules. For this optimization, a genetic algorithm is applied.
引用
收藏
页码：1176 / 1181
页数：6
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