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Paper details
Number 2 - June 2010
Volume 20 - 2010
Rule weights in a neuro-fuzzy system with a hierarchical domain partition
Krzysztof Simiński
Abstract
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.
Keywords
fuzzy inference system, hierarchical input domain partition, rule weights