Title :
A method to induce fuzzy automata using neural networks
Author :
Blanco, Alberto ; Delgado, M. ; Pegalajar, M.C.
Author_Institution :
Dept. de Ciencias de la Comput. e Inteligencia Artificial, Granada Univ.
Abstract :
It has been shown that neural networks are able to infer regular crisp grammars from positive and negative examples. The fuzzy grammatical inference problem however has received considerably less attention. In this paper we show that a suitable two-layer neural network model is able to infer fuzzy regular grammars from a set of fuzzy examples belonging to a fuzzy language. Once the network has been trained, we develop methods to extract a deterministic representation of the fuzzy automaton encoded in the network that recognizes the training set
Keywords :
automata theory; formal languages; fuzzy neural nets; grammars; inference mechanisms; multilayer perceptrons; deterministic representation; fuzzy automata; fuzzy grammatical inference problem; regular crisp grammars; two-layer neural network model; Artificial neural networks; Automata; Electronic mail; Fuzzy neural networks; Fuzzy sets; Network topology; Neural networks; Neurons; Recurrent neural networks; Uncertainty;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.943715
