A BIOLOGICALLY-INSPIRED IMPROVED MAXNET

被引：7
|
作者：
YADIDPECHT, O
GUR, M
机构：
[1] Department of Biomedical Engineering, Julius Silver Institute of Biomedical Sciences, Technion—Israel Institute of Technology
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS | 1995年 / 6卷 / 03期
关键词：
D O I：
10.1109/72.377981
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A biologically-inspired modification to MAXNET is proposed. Unlike the original net where the weights are constant, the weights in the new net are dynamically changed. Consequently, the modified net achieves a drastic improvement in convergence rate. A simple hardware implementation for the modified net is presented.
引用
收藏
页码：757 / 759
页数：3
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