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.
|Title of host publication||Recent Advances on Soft Computing and Data Mining|
|Subtitle of host publication||The Second International Conference on Soft Computing and Data Mining (SCDM-2016), Bandung, Indonesia, August 18-20, 2016 Proceedings|
|Editors||Tutut Herawan, Rozaida Ghazali, Nazri Mohd Nawi, Mustafa Mat Deris|
|Number of pages||10|
|Publication status||Published - 29 Dec 2016|
|Name||Advances in Intelligent Systems and Computing|