Neural methods for obtaining fuzzy rules

  1. Benítez, José M.
  2. Blanco Ferro, Antonio
  3. Delgado Calvo-Flores, Miguel
  4. Requena Ramos, Ignacio
Aldizkaria:
Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology

ISSN: 1134-5632

Argitalpen urtea: 1996

Alea: 3

Zenbakia: 3

Orrialdeak: 371-382

Mota: Artikulua

Beste argitalpen batzuk: Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology

Laburpena

In previous papers, we presented an empirical methodology based on Neural Networks for obtaining fuzzy rules which allow a system to be described, using a set of examples with the corresponding inputs and outputs. Now that the previous results have been completed, we present another procedure for obtaining fuzzy rules, also based on Neural Networks with Backpropagation, with no need to establish beforehand the labels or values of the variables that govern the system.