Rule weights in a neuro-fuzzy system with a hierarchical domain partition

Krzysztof Simiński

International Journal of Applied Mathematics and Computer Science, Tome 20 (2010), p. 337-347 / Harvested from The Polish Digital Mathematics Library

Résumé

The paper discusses the problem of rule weight tuning in neuro-fuzzy systems with parameterized consequences in which rule weights and the activation of the rules are not interchangeable. Some heuristic methods of rule weight computation in neuro-fuzzy systems with a hierarchical input domain partition and parameterized consequences are proposed. Several heuristics with experimental results showing the advantage of their usage are presented.

Détail

Publié le : 2010-01-01

Zbl 1196.93042

EUDML-ID : urn:eudml:doc:207991

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