摘要
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 。
The monolithic fuzzy neural networks model is considered.The contrasts are showed between the monolithic fuzzy neural networks and the traditional neural networks on the perceptron convergence theorem.Some issues are discussed on the perceptron convergence theorem of monolithic fuzzy neural networks.Two improving methods are investigated,which are presented as two modified perceptron convergence theorems,and the corresponding arguments or explanations support these modifications.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2002年第3期407-409,共3页
Acta Electronica Sinica
关键词
感知机
学习算法
单体模糊神经网络
收敛定理
fuzzy
neural networks
perceptron
learning algorithm
monolithic fuzzy neural networks
