Hidden-layer redundancy method of RBF neural networks

被引：0

作者：

Xu, Li-Qin ^{[1
]}

Hu, Dong-Cheng ^{[1
]}

机构：

[1] Dept. of Automat., Tsinghua Univ., Beijing 100084, China

来源：

Kongzhi yu Juece/Control and Decision | 2001年 / 16卷 / 05期

关键词：

Algorithms - Architecture - Computer simulation - Fault tolerant computer systems - Fault tree analysis - Redundancy - Theorem proving;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

A hidden-layer neuron redundancy architecture of RBF network is presented. Performance of the network are analyzed under both single-fault and universal faults. The performance of the network under faults can be improved significantly with this redundancy architecture. Finally, a practical method of redundancy of hidden-layer neurons to gain fault tolerance is presented. Simulation results show the validity of the method.

引用

页码：591 / 594

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