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FUZZY MODELING AND IDENTIFICATION OF THE CHEMICAL TECHNOLOGY PROCESSES

FUZZY MODELING AND IDENTIFICATION OF THE CHEMICAL TECHNOLOGY PROCESSES. A. Vasičkaninová and M.Bakošová, SUT Bratislava, Slovakia Department of Information and Process Control, Faculty of Chemical and Food Technology,

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FUZZY MODELING AND IDENTIFICATION OF THE CHEMICAL TECHNOLOGY PROCESSES

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  1. FUZZY MODELING AND IDENTIFICATION OF THE CHEMICAL TECHNOLOGY PROCESSES A. Vasičkaninová and M.Bakošová, SUT Bratislava, Slovakia Department of Information and Process Control, Faculty of Chemical and Food Technology, Slovak University of Technology, Radlinského 9, 81237 Bratislava, Slovakiae-mail: {anna.vasickaninova, monika.bakosova}@stuba.sk Takagi-Sugeno (TS) fuzzy model: x: model input, antecedent variables y: model output, consequent variable Fj: linguistic terms (fuzzy sets) a, b: consequents parameters, constant coefficients that characterize the linear relationship defined by the ith rule in the rule set, i=1,2,..., n l: number of rules ANFIS: neuro-fuzzy learning

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