Adaptive training and pruning in feedforward networks

被引：0

作者：

Chang, SJ ^{[1
]}

Sum, J

Wong, KW

Leung, CS

机构：

[1] Nankai Univ, Inst Modern Opt, Tianjin 300071, Peoples R China

[2] City Univ Hong Kong, Dept Elect Engn, Hong Kong, Hong Kong, Peoples R China

来源：

ELECTRONICS LETTERS | 2001年 / 37卷 / 02期

关键词：

D O I：

10.1049/el:20010074

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：

A local extended Kalman filter training and pruning approach is proposed to train feedforvard networks with the goal of reducing the computational complexity and storage requirement in large-scale practical problems. The performance of the proposed algorithm is demonstrated for the problem of handwritten digit recognition.

引用

页码：106 / 107

页数：2

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