LIAO Jun, ZHU Shiqiang, LIN jianya, REN Dexiang. STUDY ON IDENTIFICATION OF FUZZY T-S MODEL BASED ON GENETIC ALGORITHM[J]. INFORMATION AND CONTROL, 1997, 26(2): 141-145,150.
Citation:
LIAO Jun, ZHU Shiqiang, LIN jianya, REN Dexiang. STUDY ON IDENTIFICATION OF FUZZY T-S MODEL BASED ON GENETIC ALGORITHM[J]. INFORMATION AND CONTROL, 1997, 26(2): 141-145,150.
LIAO Jun, ZHU Shiqiang, LIN jianya, REN Dexiang. STUDY ON IDENTIFICATION OF FUZZY T-S MODEL BASED ON GENETIC ALGORITHM[J]. INFORMATION AND CONTROL, 1997, 26(2): 141-145,150.
Citation:
LIAO Jun, ZHU Shiqiang, LIN jianya, REN Dexiang. STUDY ON IDENTIFICATION OF FUZZY T-S MODEL BASED ON GENETIC ALGORITHM[J]. INFORMATION AND CONTROL, 1997, 26(2): 141-145,150.
STUDY ON IDENTIFICATION OF FUZZY T-S MODEL BASED ON GENETIC ALGORITHM
By using-genetic algorithm, a new approach to identify the fuzzy T-S model that is realized through fuzzy neural network is proposed in this paper. The process of parameter optimization is given in detail. The effectiveness of this approach is testified by a great deal of simulations. Neural network, fuzzy logic and genetic algorithm is fused successfully.
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