Generalized Recurrent Exponential Fuzzy Associative Memories Based on Similarity Measures
Aline Cristina de Souza, Marcos Eduardo Valle, Peter Sussner · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
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.