In this note, by considering the notions of the intuitionistic general L-fuzzy automaton and
$(\alpha,\beta) $-language, we show that for any $(\alpha,\beta) $-language $\mathcal {L} …

Active research into processes and techniques for extracting the knowledge embedded
within trained artificial neural networks has continued unabated for almost ten years. Given …

In this paper, a new technique for the Chinese text-to-speech (TTS) system is proposed. Our
major effort focuses on the prosodic information generation. New methodologies for …

In this monograph, the authors introduce a novel fuzzy rule-base, referred to as the Fuzzy All-
permutations Rule-Base (FARB). They show that inferring the FARB, using standard tools …

Memetic algorithms and cooperative coevolution are emerging fields in evolutionary
computation which have shown to be powerful tools for real-world application problems and …

Fuzzy neural systems have been a subject of great interest in the last few years, due to their
abilities to facilitate the exchange of information between symbolic and subsymbolic …

Identification of fuzzy dynamic systems using Max–Min recurrent neural networks Page 1 Fuzzy
Sets and Systems 122 (2001) 451–467 www.elsevier.com/locate/fss Identification of fuzzy …

A major drawback of artificial neural networks (ANNs) is their black-box character. This is
especially true for recurrent neural networks (RNNs) because of their intricate feedback …

In this paper, two different ways of introducing alternation for lattice-valued (referred to as {L}
valued) regular tree grammars and {L} valued top-down tree automata are compared. One is …