Single and multi-objective genetic programming design for B-spline neural networks and neuro-fuzzy systems

The design phase of B-spline neural networks and neuro-fuzzy systems is a highly computationally complex task. Existent heuristics, namely the ASMOD algorithm, have been found to be highly dependent on the initial conditions employed. A Genetic Programming approach is proposed, which produces an eff...

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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
Neuro-fuzzy systems
Genetic programming
Single and multi-objective optimization
Online Access:http://hdl.handle.net/10400.1/2211
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/2211

Internet

http://hdl.handle.net/10400.1/2211

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