淡江大學機構典藏:Item 987654321/68561
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    題名: Neuro-fuzzy and genetic algorithm in multiple response optimization
    作者: 鄭啟斌;Cheng, Chi-bin;Cheng, C. J.;Lee, E. S.
    貢獻者: 淡江大學資訊管理學系
    關鍵詞: Multiple response;Neuro-fuzzy system;Genetic algorithm;Multiple objective decision making
    日期: 2002-12
    上傳時間: 2011-10-23 13:16:35 (UTC+8)
    出版者: Elsevier
    摘要: Optimization of a multiple output system, whose function is only approximately known and is represented in tabular form, is modeled and optimized by the combined use of a neuro-fuzzy network and optimization techniques which do not require the explicit representation of the function. Neuro-fuzzy network is useful for learning the approximate original tabular system. However, the results obtained by the neuro-fuzzy network are represented implicitly in the network. The MANFIS neuro-fuzzy network, which is an extension of the ANFIS network, is used to model the multiple output system and a genetic algorithm is used to optimize the resulting multiple objective decision making problem. A chemical process whose function is represented approximately in tabular form is solved to illustrate the approach.
    關聯: Computers and Mathematics with Applications 44(12), pp.1503-1514
    DOI: 10.1016/S0898-1221(02)00274-2
    顯示於類別:[資訊管理學系暨研究所] 期刊論文

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