Train RBF networks with a hybrid genetic algorithm

被引：0
|
作者：
Ioannis G. Tsoulos
Nikolaos Anastasopoulos
Georgios Ntritsos
Alexandros Tzallas
机构：
[1] University of Ioannina,Department of Informatics and Telecommunications
[2] University of Patras,Department of Electrical and Computer Engineering
来源：
Evolutionary Intelligence | 2023年 / 16卷
关键词：
Neural networks; Rbf networks; Genetic algorithms;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
RBF neural networks are well established tools for classification and regression problems. This article adapts a hybrid genetic algorithm to estimate the main parameters of the network. The proposed method utilizes a genetic algorithm in a conjunction with a local search procedure and a termination rule. The method is tested against other RBF variants on a series of well-known problems from the relevant literature and the results are reported.
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收藏
页码：375 / 381
页数：6
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