期刊
COMPUTERS & MATHEMATICS WITH APPLICATIONS
卷 44, 期 12, 页码 1503-1514出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0898-1221(02)00274-2
关键词
multiple response; neuro-fuzzy system; genetic algorithm; multiple objective decision making
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. (C) 2002 Elsevier Science Ltd. All rights reserved.
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