A Fuzzy Cerebellar Model Articulation Controller Using a Strategy-Adaptation-Based Bacterial Foraging Optimization Algorithm for Classification Applications
作者： Hsueh-Yi Lin , Chih-Feng Wu , Cheng-Jian Lin , Cheng-Yi Yu , None
DOI: 10.1007/S40815-015-0023-6
关键词:
摘要: This paper proposes a fuzzy cerebellar model articulation controller using strategy-adaptation-based bacterial foraging optimization (SABFO) algorithm to solve classification problems. A strategic approach the chemotaxis step in SABFO was adopted: this approach, each virtual bacterium swims on different run-lengths, and diversity is increased. The simulation results indicated that performance of proposed method more favorable than other methods.
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ncut.edu.tw参考文章(16)
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