Training neuro-fuzzy models using evolution based algorithms

The normal design process for neural networks or fuzzy systems involve two different phases: the determination of the best topology, which can be seen as a system identification problem, and the determination of its parameters, which can be envisaged as a parameter estimation problem. This latter is...

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Bibliographic Details
Main Author: Cabrita, Cristiano Lourenço (author)
Other Authors: Ruano, Antonio (author), Fonseca, C. M. (author)
Format: conferenceObject
Language:eng
Published: 2013
Subjects:
Constructive algorithms
B-splines
Bacterial programming
Genetic programming
Memetic algorithms
Online Access:http://hdl.handle.net/10400.1/2328
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/2328

Internet

http://hdl.handle.net/10400.1/2328

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