FUZZY TRAINING PROCEDURES .1.

被引：7

作者：

DUMITRESCU, D

机构：

[1] Department of Mathematics, University of Cluj-Napoca, 3400 Cluj-Napoca, RO

来源：

FUZZY SETS AND SYSTEMS | 1993年 / 56卷 / 02期

关键词：

FUZZY PARTITION; DISTANCE IN A FUZZY SET; FUZZY TRAINING; FUZZY PERCEPTRON ALGORITHM; FUZZY RELAXATION TRAINING PROCEDURE;

D O I：

10.1016/0165-0114(93)90140-D

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The aim of this paper is to propose some fuzzy training procedures. The training classes are members of a binary fuzzy partition of the sample set. In each considered training method a criterion function is used. These functions are obtained by using a concept of local fuzzy distance. In Part I two algorithms (Fuzzy Perceptron and the Fuzzy Relaxation) are given. The convergence of these algorithms is considered.

引用

页码：155 / 169

页数：15

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