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

• 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/23169/1/Comparative%20analysis%20of%20probabilistic%20neural%20network%2C%20radial%20basis%20function%2C%20and%20feed-forward%20neural%20network%20for%20fault%20classification%20in%20power%20distribution%20systems.pdf; http://psasir.upm.edu.my/id/eprint/23169/; http://www.tandfonline.com/doi/abs/10.1080/15325008.2011.615802
• Institution: Universiti Putra Malaysia

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...