NEURAL NETWORK REALIZATION OF MARKOV RELIABILITY AND FAULT-TOLERANCE MODELS

被引：5
|
作者：
SULIMAN, M
MANZOUL, MA
机构：
[1] Department of Electrical Engineering, Southern Illinois University, Carbondale
来源：
MICROELECTRONICS AND RELIABILITY | 1991年 / 31卷 / 01期
关键词：
D O I：
10.1016/0026-2714(91)90358-E
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 feed-forward recursive neural network consisting of 2n neurons forming 2 layers, n neurons in each layer, is set to represent a discrete-time n-state Markov model of a fault-tolerant hardware. A quadratic energy function for the neural net is presented and the appropriate update equations for the weights are derived using the least mean square gradient-descent technique.
引用
收藏
页码：141 / 147
页数：7
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