Wavelet network based on modified auto-adapted ant colony algorithm and its application

被引：0
|
作者：
Li, Guo [1 ]
Shan, Miyuan [1 ]
Wu, Juan [1 ]
机构：
[1] Hunan Univ, Project Management & ECommerce Lab, Changsha 410083, Peoples R China
来源：
WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年
关键词：
wavelet network; ant colony algorithm; convengence speed; genetic algorithm;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In order to solve the problems in wavelet network back propagation, such as low-precision, slow speed learning process and easy convergence to the local minimum points, ant colony algorithm was modified based on analyzing the fundamental of ant colony algorithm. Then a learning algorithm for wavelet network, which is modifled auto-adapted ant colony algorithm, was put forward. An application example of customization product cost estimation was given at last. Learning process and precision of the algorithm is better than the others, which shows wavelet network training based on this algorithm has a better generalization ability and learning ability.
引用
收藏
页码：2896 / 2900
页数：5
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