Comparative analysis of probabilistic neural network, radial basis function, and feed-forward neural network for fault classification in power distribution systems

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Comparative analysis of probabilistic neural network, radial basis function, and feed-forward neural network for fault classification in power distribution systems

This article presents a classification methodology based on probabilistic neural networks. To automatically select the training data and obtain the performance evaluation results, the “K-fold” cross-validation method is used. Then, the probabilistic neural network is compared with the feed-forward n...

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Bibliographic Details
Main Authors:	Mirzaei, Maryam, Ab Kadir, Mohd Zainal Abidin, Hizam, Hashim, Moazami, Ehsan
Format:	Article
Language:	English
Published:	Taylor & Francis 2011
Online Access:	http://psasir.upm.edu.my/id/eprint/23169/ http://psasir.upm.edu.my/id/eprint/23169/1/Comparative%20analysis%20of%20probabilistic%20neural%20network%2C%20radial%20basis%20function%2C%20and%20feed-forward%20neural%20network%20for%20fault%20classification%20in%20power%20distribution%20systems.pdf

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