在输入和输出信号均有噪声污染的情况下,提出随机模糊逻辑神经网络系统及其参数学习算法,给出了参数学习公式;仿真计算表明本文所提出的算法的有效性,它明显优于没有考虑噪声的模糊逻辑神经网络系统.%A stochastic fuzzy logic system and its neural network parameter learning method are developed for the case of noise pollution both in input and output signals. The corresponding parameter learning formulas are also presented. Simulation results indicate that the parameter learning method proposed in this paper is evidently superior to the fuzzy logic neural network methods that do not take noise pollution into consideration.
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