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
收藏
页码：106 / 107
页数：2
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