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直觉模糊感知器及其收敛性
引用本文:李龙,赵蓉.直觉模糊感知器及其收敛性[J].衡阳师范学院学报,2014,35(6):5-10.
作者姓名:李龙  赵蓉
作者单位:衡阳师范学院数学与计算科学系,湖南衡阳,421002
基金项目:湖南省自然科学基金项目:模糊神经网络学习算法及其收敛性分析,湖南省教育厅青年项目:模糊神经网络光滑化算法和网络结构优化的研究,湖南省大学生研究性学习和创新性实验计划项目
摘    要:将直觉模糊集与感知器网络相结合,提出了一种用来分类的直觉模糊感知器模型,同时构造了一种新的学习算法,并证明了在训练样本直觉模糊可分和相应的条件下,该学习算法是有限收敛。

关 键 词:直觉模糊感知器  有限收敛  学习算法

An Intuitionistic Fuzzy Perceptron and Its Finite Convergence
LI Long,ZHAO Rong.An Intuitionistic Fuzzy Perceptron and Its Finite Convergence[J].journal of Hengyang Normal University,2014,35(6):5-10.
Authors:LI Long  ZHAO Rong
Institution:LI Long;ZHAO Rong;Dept.of Mathematics and Computational Science,Hengyang Normal University;
Abstract:An intuitionistic fuzzy perceptron is proposed by combining intuitionistic fuzzy sets with peceptron network for classification. Furthermore, a new learning algorithm is constructed to train this network. The learning algorithm has an advantage, as proved in this paper, and that it converges in a finite number of steps if the training patterns are intuitionistic fuzzily separable and some other conditions hold.
Keywords:intuitionistic fuzzy perceptron  finite convergence  learning algorithm
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