遗传算法在T-S模糊模型辨识中的应用

STUDY ON IDENTIFICATION OF FUZZY T-S MODEL BASED ON GENETIC ALGORITHM

  • 摘要: 给出了T-S模糊模型的一种模糊神经网络实现方法.提出了采用遗传算法优化网络参数,实现T-S模型的辨识.给出了参数优化的详细过程,并用仿真实例证实了这种方法的有效性.成功地将神经网络、模糊逻辑与遗传算法融合于一个系统中.

     

    Abstract: 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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