Actas de congresos
Generalized Recurrent Exponential Fuzzy Associative Memories Based On Similarity Measures
Registro en:
978-94-62520-77-6
Generalized Recurrent Exponential Fuzzy Associative Memories Based On Similarity Measures. Atlantis Press, v. 89, p. 455-462 2015.
1951-6851
WOS:000358581100066
Autor
de Souza
Aline Cristina; Valle
Marcos Eduardo; Sussner
Peter
Institución
Resumen
The recurrent exponential fuzzy associative memory (RE-FAM) can be viewed as a recurrent neural network that employs a fuzzy similarity measure in its hidden layer. This paper introduces the generalized recurrent exponential fuzzy associative memory (GRE-FAM). In contrast to the RE-FAM, the GRE-FAM is equipped with a second hidden layer that is geared to avoiding crosstalk. Apart from theoretical results, this paper includes some computational experiments concerning the reconstruction of corrupted gray-scale images. 89
455 462