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Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
Assessment on Fault-tolerance Performance Using Neural Network Model Based on Ant Colony Optimization Algorithm for Fault Diagnosis in Distribution Systems of Electric Power Systems
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
| ASCII Text | x | ||
| Zhisheng Zhang, Yaming Sun, "Assessment on Fault-tolerance Performance Using Neural Network Model Based on Ant Colony Optimization Algorithm for Fault Diagnosis in Distribution Systems of Electric Power Systems," 2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, vol. 2, pp. 712-716, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007. | |||
| BibTex | x | ||
| @article{ 10.1109/SNPD.2007.178, author = {Zhisheng Zhang and Yaming Sun}, title = {Assessment on Fault-tolerance Performance Using Neural Network Model Based on Ant Colony Optimization Algorithm for Fault Diagnosis in Distribution Systems of Electric Power Systems}, journal ={2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing}, volume = {2}, year = {2007}, isbn = {0-7695-2909-7}, pages = {712-716}, doi = {http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.178}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing TI - Assessment on Fault-tolerance Performance Using Neural Network Model Based on Ant Colony Optimization Algorithm for Fault Diagnosis in Distribution Systems of Electric Power Systems SN - 0-7695-2909-7 SP712 EP716 A1 - Zhisheng Zhang, A1 - Yaming Sun, PY - 2007 VL - 2 JA - 2010 11th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.178
This paper presents a model based on neural network optimized by the ant colony optimization algorithm (ACOA) for fault section diagnosis in distribution systems of electric power systems, and the simulation results show that it can effectively improve the fault-tolerance ability of fault section diagnosis. It had better fault-tolerance ability in contrast with the BP-NN model and the DGA-NN model. It must be pointed out that the improvement degree is correlative with the space distribution of samples, and it isn't the essential improvement, but it is the potential mining of neural network.
Citation:
Zhisheng Zhang, Yaming Sun, "Assessment on Fault-tolerance Performance Using Neural Network Model Based on Ant Colony Optimization Algorithm for Fault Diagnosis in Distribution Systems of Electric Power Systems," snpd, vol. 2, pp.712-716, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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