Wavelet networks as an alternative to neural networks

被引：0
|
作者：
Ciuca, I
Ware, JA
机构：
来源：
ETFA '97 - 1997 IEEE 6TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION PROCEEDINGS | 1997年
关键词：
D O I：
10.1109/ETFA.1997.616295
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper presents an alternative to the use of feed-forward neural networks as universal approximators. The alternative is based on the wavelet approximation theory of nonlinear functions. An algorithm from the Evolutionary Computation class is presented for wavelet network learning which as an optional facility, incorporates the capability for removing irrelevant features from input data in classification applications. The results of a dynamic process forecasting application are also presented.
引用
收藏
页码：353 / 358
页数：6
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