Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology

Generalized Recurrent Exponential Fuzzy Associative Memories Based on Similarity Measures

Authors
Aline Cristina de Souza, Marcos Eduardo Valle, Peter Sussner
Corresponding Author
Aline Cristina de Souza
Available Online June 2015.
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.66How to use a DOI?
Keywords
Associative memory, recurrent neural network, fuzzy system, similarity measure.
Abstract

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 GREFAM 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 econstruction of corrupted gray-scale images.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
Series
Advances in Intelligent Systems Research
Publication Date
June 2015
ISBN
978-94-62520-77-6
ISSN
1951-6851
DOI
https://doi.org/10.2991/ifsa-eusflat-15.2015.66How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Aline Cristina de Souza
AU  - Marcos Eduardo Valle
AU  - Peter Sussner
PY  - 2015/06
DA  - 2015/06
TI  - Generalized Recurrent Exponential Fuzzy Associative Memories Based on Similarity Measures
BT  - Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 455
EP  - 462
SN  - 1951-6851
UR  - https://doi.org/10.2991/ifsa-eusflat-15.2015.66
DO  - https://doi.org/10.2991/ifsa-eusflat-15.2015.66
ID  - Souza2015/06
ER  -