Simple Case Study on Radius of Radial Basis Function Network for Sequential Approximate Optimization

Simple Case Study on Radius of Radial Basis Function Network for Sequential Approximate Optimization

Radial basis function (RBF) networks are used for various research field. Especially, they make handling easy for classification and function approximation due to their mathematical form. Some parameters of an RBF network should be carefully selected to obtain good performance for a specific problem...

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Bibliographic Details
Main Author: Yoshiaki Katada
Format: Article
Language:English
Published: Taylor & Francis Group 2017-11-01
Series:SICE Journal of Control, Measurement, and System Integration
Subjects:
rbf networks
function approximation
optimization problem
Online Access:http://dx.doi.org/10.9746/jcmsi.10.551

Internet

http://dx.doi.org/10.9746/jcmsi.10.551

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