提出了一种模糊神经元网络的统一模型 ,它能表示现有的多数神经元网络模型 ,既可以实现传统神经网络的代数运算 ,又能进行模糊神经网络的逻辑推理运算 .应用这种模型可将模糊神经元的运算归结为 3种基本运算算子的复合 ,这三种算子的不同表现形式的组合可以表示形式各异的模糊神经元模型 ,进而组成各种各样的模糊神经网络模型 A unified model of fuzzy neural network is proposed, which can represent the existing majority of neural network models, which can not only realize the algebraic operations of traditional neural networks but also the logical inference of fuzzy neural networks. The operation of fuzzy neurons is attributed to the compounding of three kinds of basic arithmetic operators. The combination of the different forms of these three kinds of operators can represent the different forms of fuzzy neuron models, and then make up a variety of fuzzy neural network models