Exploiting the functional training approach in Radial Basis Function networks

This paper investigates the application of a novel approach for the parameter estimation of a Radial Basis Function (RBF) network model. The new concept (denoted as functional training) minimizes the integral of the analytical error between the process output and the model output [1]. In this paper,...

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Bibliographic Details
Main Author: Cabrita, Cristiano Lourenço (author)
Other Authors: Ruano, Antonio (author), Ferreira, P. M. (author)
Format: conferenceObject
Language:eng
Published: 2013
Subjects:
Radial Basis Neural networks training
Local nonlinear optimization
Parameter separability
Functional backpropagation
Online Access:http://hdl.handle.net/10400.1/2165
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/2165

Internet

http://hdl.handle.net/10400.1/2165

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