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本文将模糊逻辑与神经网络相结合,对一种能表达知识规则的模糊神经系统模型进行研究,给出了该模糊神经系统的结构和学习算法.并将其用于105组稻米香数据的数值实验,仿真结果表明,该模型的性能优于一般模糊系统,从而表明了这一模型的有效性.
This paper combines fuzzy logic and neural network to study a fuzzy neural system model which can express knowledge rules and gives the structure and learning algorithm of the fuzzy neural system and applies it to the data of 105 fragrant rice Experiments and simulation results show that the performance of this model is better than that of general fuzzy system, which shows the validity of this model.