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基于小波神经网络的混沌模式提取
引用本文:江亚东,丁丽萍,夏克俭,李恪,陈因颀. 基于小波神经网络的混沌模式提取[J]. 北京科技大学学报, 2001, 23(5): 474-477
作者姓名:江亚东  丁丽萍  夏克俭  李恪  陈因颀
作者单位:1. 北京科技大学信息工程学院
2. 中国科学院管理干部学院
基金项目:国家自然科学基金;69835011;
摘    要:分析了小波基函数对于确定模式、混沌模式及随机模式所表现出来的不同的收敛特性,提出构造一个小波神经网络及相应学习算法。利用小波网络在学习过程中神经元的不同增长趋势来反映上述收敛性的差异,从而将3种不同的模式予以区分,并将混沌模式从中提取出来。

关 键 词:KDD 小波神经网络 混沌模式
修稿时间:2001-02-25

Chaotic Pattern Distinction Based on Wavelet Neural Network
JIANG Yadong,DING Liping,XIA Kejian,LI Ke,CHEN Yinqi ) Information Engineering School,UST Beijing,Beijing ,China )Management Cadre School,Chinese Academy of Science,Beijing ,China. Chaotic Pattern Distinction Based on Wavelet Neural Network[J]. Journal of University of Science and Technology Beijing, 2001, 23(5): 474-477
Authors:JIANG Yadong  DING Liping  XIA Kejian  LI Ke  CHEN Yinqi ) Information Engineering School  UST Beijing  Beijing   China )Management Cadre School  Chinese Academy of Science  Beijing   China
Affiliation:JIANG Yadong,DING Liping,XIA Kejian,LI Ke,CHEN Yinqi 1) Information Engineering School,UST Beijing,Beijing 100083,China 2)Management Cadre School,Chinese Academy of Science,Beijing 101416,China
Abstract:The features of constringencies of deterministic pattern, chaotic pattern and random pattern are analyzed. A wavelet neural network is constructed and its learning algorithm is studied. The difference of increase trend of neurons in wavelet network are used to reflecting the difference of constringencies of the pat-terns above mentioned. Owing to there differences, the chaotic pattern can be distinct.
Keywords:KDD  wavelet network  chaotic pattern
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