考虑单体模糊神经网络模型 ,讨论了单体模糊神经网络的感知机收敛定理与传统神经网络感知机收敛定理的关系 ,指出了在证明单体模糊神经网络的感知机收敛定理时存在的问题 ,提出了两种修改方案 ,即给出了两个改进的感知机收敛定理 ,并给出相应的证明和说明 Considering the single fuzzy neural network model, the relationship between the perceptron convergence theorem of the single fuzzy neural network and the traditional neural network perceptron convergence theorem is discussed. The existing problems in the perceptron convergence theorem of single fuzzy neural network are pointed out. Two modifications are proposed, that is, two improved convergence theorems for perceptrons are given, and corresponding proofs and explanations are given