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Fault-Tolerant Analysis of Feedback Neural Networks with Threshold Neurons
Shanghai, China November 16-November 18
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ATS.1999.810752Eighth Asian Test Symposium (ATS'99)
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Tao Zhang, Dongcheng Hu, Shiyuan Yang, "Fault-Tolerant Analysis of Feedback Neural Networks with Threshold Neurons," Asian Test Symposium, pp. 209, Eighth Asian Test Symposium (ATS'99), 1999.
 
 
BibTex
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@article{ 10.1109/ATS.1999.810752,
author = {Tao Zhang and Dongcheng Hu and Shiyuan Yang},
title = {Fault-Tolerant Analysis of Feedback Neural Networks with Threshold Neurons},
journal ={Asian Test Symposium},
volume = {0},
year = {1999},
issn = {1081-7735},
pages = {209},
doi = {http://doi.ieeecomputersociety.org/10.1109/ATS.1999.810752},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Asian Test Symposium
TI - Fault-Tolerant Analysis of Feedback Neural Networks with Threshold Neurons
SN - 1081-7735
SP
EP
A1 - Tao Zhang,
A1 - Dongcheng Hu,
A1 - Shiyuan Yang,
PY - 1999
KW - Feedback Neural Networks
KW - Fault-tolerant Analysis
KW - Central Limit Theorem
VL - 0
JA - Asian Test Symposium
ER -
 
Tao Zhang, Tsinghua University
Dongcheng Hu, Tsinghua University
Shiyuan Yang, Tsinghua University
In this paper, based on the statistical approach , the fault-tolerant behavior of feedback neural networks (FNN) with threshold neurons is discussed in detail. Firstly, the model of faults for FNN are defined. Secondly, the effect of link faults and error feedback on the fault-tolerant behavior are analyzed and corresponding formulas are given. Finally, the computer simulation shows the correctness of conclusions presented in this paper.
Index Terms:
Feedback Neural Networks, Fault-tolerant Analysis, Central Limit Theorem
Citation:
Tao Zhang, Dongcheng Hu, Shiyuan Yang, "Fault-Tolerant Analysis of Feedback Neural Networks with Threshold Neurons," ats, pp.209, Eighth Asian Test Symposium (ATS'99), 1999
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