Evolutionary Training of Neuro-fuzzy Patches for Function Approximation

Authors:
Jesús González;Ignacio Rojas;Héctor Pomares;Alberto Prieto;Karl Goser
Affiliations:
-;-;-;-;-
Venue:
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Year:
2002

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Abstract

This paper describes how the fundamental principles of GAs can be hybridized with classical optimization techniques for the design of an evolutive algorithm for neuro-fuzzy systems. The proposed algorithm preserves the robustness and global search capabilities of GAs and improves on their performance, adding new capabilities to fine-tune the solutions obtained.