@inproceedings{de998efef5a34936a190d2c65eb6720a,
title = "Training ANFIS Using Catfish-Particle Swarm Optimization for Classification",
abstract = "ANFIS performance depends on the parameters it is trained with. Therefore, the training mechanism needs to be faster and reliable. Many have trained ANFIS parameters using GD, LSE, and metaheuristic techniques but the efficient one are still to be developed. Catfish-PSO algorithm is one of the latest successful swarm intelligence based technique which is used in this research for training ANFIS. As opposed to standard PSO, Catfish-PSO has string exploitation and exploration capability. The experimental results of training ANFIS network for classification problems show that Catfish-PSO algorithm achieved much better accuracy and satisfactory results.",
author = "Norlida Hassan and Rozaida Ghazali and Kashif Hussain",
year = "2016",
month = dec,
day = "29",
doi = "10.1007/978-3-319-51281-5_21",
language = "English",
isbn = "978-3-319-51279-2",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "201--210",
editor = "Tutut Herawan and Rozaida Ghazali and Nawi, {Nazri Mohd} and Deris, {Mustafa Mat}",
booktitle = "Recent Advances on Soft Computing and Data Mining",
}