Rule weights in neuro-fuzzy system with hierarchical domain partition

Simiński, Krzysztof

doi:10.2478/v10006-010-0025-3

Krzysztof Simiński

Abstract:

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

Reference:

Krzysztof Simiński, Rule weights in neuro-fuzzy system with hierarchical domain partition, [in] International Journal of Applied Mathematics and Computer Science, 2010, volume 20, number 2, pp. 337-347. ([9 pkt; impact factor: 0.684])

Bibtex Entry:

@string{ijamcs="International Journal of Applied Mathematics and Computer Science"}
@ARTICLE{id:Siminski2010Rule,
  author = {Krzysztof Simi\'{n}ski},
  title = {Rule weights in neuro-fuzzy system with  hierarchical domain partition},
  journal = IJAMCS,
  year = {2010},
  volume = {20},
  pages = {337--347},
  number = {2},
  note = {[9 pkt; impact factor: 0.684]},
  doi = {10.2478/v10006-010-0025-3},
  abstract = {The paper discusses the problem of rule weights tuning in the neuro-fuzzy systems with parameterized consequences
in which the rule weights and the activation of the rules are not interchangeable. Some heuristic methods of the rule
weights computation in the neuro-fuzzy systems with hierarchical input domain partition and parameterized consequences
are proposed. A few heuristics with experimental results showing the advantage of their usage are presented.},
}