Fast design algorithm for competitive learning

被引：6

作者：

Hwang, WJ ^{[1
]}

Lin, FJ ^{[1
]}

Zeng, YC ^{[1
]}

机构：

[1] Chung Yuan Christian Univ, Dept Elect Engn, Chungli, Taiwan

来源：

ELECTRONICS LETTERS | 1997年 / 33卷 / 17期

关键词：

neural networks; learning systems; wavelet transforms;

D O I：

10.1049/el:19971010

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The authors present a new, fast computation algorithm which significantly reduces the training time of the competitive learning (CL) algorithm without sacrificing its performance. The training process is performed in the wavelet domain to identify the winning neural units with a small number of multiplications. Simulation results show that in many cases the algorithm requires < 10% of the computational time required by traditional CL algorithms.

引用

页码：1469 / 1471

页数：3

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