EXISTENCE OF BINARY INVARIANT-SETS IN FEEDBACK NEURAL NETWORKS WITH APPLICATION TO SYNTHESIS

被引：3
|
作者：
PERFETTI, R
机构：
[1] INFOCOM Department, Università “La Sapienza,”
来源：
IEEE TRANSACTIONS ON NEURAL NETWORKS | 1993年 / 4卷 / 01期
关键词：
D O I：
10.1109/72.182709
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The design of fully connected discrete-time neural networks, with threshold units, can be performed by solving a set of linear inequalities. Using this formulation, the design problem can be handled by several powerful algorithms. This approach is extended to the design of continuous-time neural networks with sigmoidal units, which represent a more realistic model of analog circuit implementations. The proposed method is based on some theoretical results proved in this paper
引用
收藏
页码：153 / 156
页数：4
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