勤益科大機構典藏:Item 987654321/5964
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    請使用永久網址來引用或連結此文件: http://ir.lib.ncut.edu.tw/handle/987654321/5964


    題名: 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
    貢獻者: 圖書館
    關鍵詞: Classification
    Fuzzy cerebellar model articulation controller
    Bacterial foraging optimization
    Strategy adaptation
    日期: 2015
    上傳時間: 2016-10-20 15:01:09 (UTC+8)
    摘要: 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.
    關聯: International Journal of Fuzzy Systems, 17(2), 303-308
    顯示於類別:[資訊工程系(所)] 【資訊工程系所】期刊論文

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