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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5
Using Neural Networks for Fault Diagnosis
Como, Italy
July 24-July 27
ISBN: 0-7695-0619-4
ASCII Text
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Jia-Zhou He, Zhi-Hua Zhou, Xu-Ri Yin, Shi-Fu Chen, "Using Neural Networks for Fault Diagnosis," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 5, pp. 5217, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5, 2000.
 
 
BibTex
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@article{ 10.1109/IJCNN.2000.861460,
author = {Jia-Zhou He and Zhi-Hua Zhou and Xu-Ri Yin and Shi-Fu Chen},
title = {Using Neural Networks for Fault Diagnosis},
journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on},
volume = {5},
year = {2000},
issn = {1098-7576},
pages = {5217},
doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.861460},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
TI - Using Neural Networks for Fault Diagnosis
SN - 1098-7576
SP
EP
A1 - Jia-Zhou He,
A1 - Zhi-Hua Zhou,
A1 - Xu-Ri Yin,
A1 - Shi-Fu Chen,
PY - 2000
VL - 5
JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
ER -
 
Jia-Zhou He, Nanjing University
Zhi-Hua Zhou, Nanjing University
Xu-Ri Yin, Nanjing University
Shi-Fu Chen, Nanjing University
In this paper, a universal Fault Instance Model, which aims to solve problems existing in the present technology of fault diagnosis, such as the lack of universality, the difficulty in the use of real time system and the dilemma of stability and plasticity, is proposed. The experiment demonstrates that the FANNC used can successfully settles the problems mentioned above by its effectively incremental ability and processing new input patterns via one round learning.
Citation:
Jia-Zhou He, Zhi-Hua Zhou, Xu-Ri Yin, Shi-Fu Chen, "Using Neural Networks for Fault Diagnosis," ijcnn, vol. 5, pp.5217, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 5, 2000
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