WEIGHTED RADIAL BASIS FUNCTIONS FOR IMPROVED PATTERN-RECOGNITION AND SIGNAL-PROCESSING

被引：27

作者：

REYNERI, LM ^{[1
]}

机构：

[1] UNIV PISA,DIPARTIMENTO INGN INFORMAZ,I-56126 PISA,ITALY

来源：

NEURAL PROCESSING LETTERS | 1995年 / 2卷 / 03期

关键词：

D O I：

10.1007/BF02311571

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper describes an improved version of the Radial Basis Function algorithm, which integrates the advantages of Multi-Layer Perceptrons and Radial Basis Functions alone. The proposed paradigm is more general in nature, since it has the other two as particular subcases. It finds applications in several pattern recognition and classification tasks. Furthermore it can also be used as a method to map Fuzzy Inference Systems on Artificial Neural Networks.

引用

页码：2 / 6

页数：5