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

International Journal of Applied Mathematics and Computer Science (2010)

- Volume: 20, Issue: 2, page 337-347
- ISSN: 1641-876X

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topKrzysztof Simiński. "Rule weights in a neuro-fuzzy system with a hierarchical domain partition." International Journal of Applied Mathematics and Computer Science 20.2 (2010): 337-347. <http://eudml.org/doc/207991>.

@article{KrzysztofSimiński2010,

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.},

author = {Krzysztof Simiński},

journal = {International Journal of Applied Mathematics and Computer Science},

keywords = {fuzzy inference system; hierarchical input domain partition; rule weights},

language = {eng},

number = {2},

pages = {337-347},

title = {Rule weights in a neuro-fuzzy system with a hierarchical domain partition},

url = {http://eudml.org/doc/207991},

volume = {20},

year = {2010},

}

TY - JOUR

AU - Krzysztof Simiński

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

JO - International Journal of Applied Mathematics and Computer Science

PY - 2010

VL - 20

IS - 2

SP - 337

EP - 347

AB - 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.

LA - eng

KW - fuzzy inference system; hierarchical input domain partition; rule weights

UR - http://eudml.org/doc/207991

ER -

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