ON A CLASS OF NONSYMMETRICAL NEURAL NETWORKS WITH APPLICATION TO ADC

被引：53
作者：
AVITABILE, G
FORTI, M
MANETTI, S
MARINI, M
机构：
[1] Electronic Engineering Department, Florence University, 50139, Florence
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS | 1991年 / 38卷 / 02期
关键词：
D O I：
10.1109/31.68298
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 class of neural network with nonsymmetrical connections is considered. The analysis of the dynamical behavior shows that this type of neural network is characterized by a unique equilibrium point whose attraction domain is the entire space. Such properties do not depend on the shape of neuron nonlinearities. Application of this class of neural networks to the A/D conversion is considered and design procedures for an A/D converter are illustrated. Finally, computer simulations and experimental results obtained with a discrete component prototype of the converter are presented.
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页码：202 / 209
页数：8
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