International Journal of Computational Intelligence Systems

Volume 4, Issue 5, September 2011, Pages 1042 - 1051

A Novel Fuzzy Rough Granular Neural Network for Classification

Authors
Avatharam Ganivada, Sankar K. Pal
Corresponding Author
Avatharam Ganivada
Available Online 1 September 2011.
DOI
10.2991/ijcis.2011.4.5.27How to use a DOI?
Keywords
Granular computing, fuzzy reflexive relation, fuzzy rough sets, rule based layered network, fuzzy pattern classification.
Abstract

A novel fuzzy rough granular neural network (NFRGNN) based on the multilayer perceptron using backpropagation algorithm is described for fuzzy classification of patterns. We provide a development strategy of knowledge extraction from data using fuzzy rough set theoretic techniques. Extracted knowledge is then encoded into the network in the form of initial weights. The granular input vector is presented to the network while the target vector is provided in terms of membership values and zeros. The superiority of NFRGNN is demonstrated on several real life data sets.

Copyright
© 2011, 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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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
4 - 5
Pages
1042 - 1051
Publication Date
2011/09/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.2011.4.5.27How to use a DOI?
Copyright
© 2011, 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  - JOUR
AU  - Avatharam Ganivada
AU  - Sankar K. Pal
PY  - 2011
DA  - 2011/09/01
TI  - A Novel Fuzzy Rough Granular Neural Network for Classification
JO  - International Journal of Computational Intelligence Systems
SP  - 1042
EP  - 1051
VL  - 4
IS  - 5
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2011.4.5.27
DO  - 10.2991/ijcis.2011.4.5.27
ID  - Ganivada2011
ER  -