NOVEL FAST TRAINING ALGORITHM FOR MULTILAYER FEEDFORWARD NEURAL NETWORK

被引：9
作者：
PARK, DJ
JUN, BE
KIM, JH
机构：
[1] Department of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Taejon 305-701, 373-1 Kusong-dong, Yusung-gu
来源：
ELECTRONICS LETTERS | 1992年 / 28卷 / 06期
关键词：
NEURAL NETWORKS; ALGORITHMS;
D O I：
10.1049/el:19920343
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 new fast learning algorithm for a multilayer feedforward neural network is presented. The new algorithm, based on an innovative variable step size and gradient averaging, has excellent properties to overcome major drawbacks of the backpropagation algorithm and shows high convergence speed. The improved performance of the new algorithm in comparison with other algorithms is verified via computer simulations.
引用
收藏
页码：543 / 545
页数：3
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