A Fuzzy Cerebellar Model Articulation Controller Using a Strategy-adaptation-based Bacterial Foraging Optimization Algorithm for Classification Applications

Please use this identifier to cite or link to this item: http://ir.lib.ncut.edu.tw/handle/987654321/5964

Title:	A Fuzzy Cerebellar Model Articulation Controller Using a Strategy-adaptation-based Bacterial Foraging Optimization Algorithm for Classification Applications
Authors:	Hsueh-Yi Lin, Chih-Feng Wu, Cheng-Jian Lin, Cheng-Yi Yu
Contributors:	圖書館
Keywords:	Classification Fuzzy cerebellar model articulation controller Bacterial foraging optimization Strategy adaptation
Date:	2015
Issue Date:	2016-10-20 15:01:09 (UTC+8)
Abstract:	This paper proposes a fuzzy cerebellar model articulation controller using a strategy-adaptation-based bacterial foraging optimization (SABFO) algorithm to solve classification problems. A strategic approach to the chemotaxis step in the SABFO algorithm was adopted: in this approach, each virtual bacterium swims on different run-lengths, and bacterial diversity is increased. The simulation results indicated that the performance of the proposed method was more favorable than that of other methods.
Relation:	International Journal of Fuzzy Systems, 17(2), 303-308
Appears in Collections:	[Department of Computer Science and Information Engineering] 【資訊工程系所】期刊論文

Files in This Item:

There are no files associated with this item.

View Licence