On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment

This paper presents a hybrid network (FAMDDA-T) comprising the Fuzzy ARTMAP (FAM) neural network and the Dynamic Decay Adjustment (DDA) algorithm with an online pruning strategy. Twelve benchmark datasets are used to demonstrate the effectiveness of FAMDDA-T. The results of FAMDDA-T are compared wit...

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Main Authors: TAN, S, RAO, M, LIM, C
Format: Article
Language:English
Published: ELSEVIER SCIENCE BV 2006
Subjects:
Online Access:http://shdl.mmu.edu.my/3247/
http://shdl.mmu.edu.my/3247/1/1302.pdf
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author TAN, S
RAO, M
LIM, C
author_facet TAN, S
RAO, M
LIM, C
author_sort TAN, S
building MMU Institutional Repository
collection Online Access
description This paper presents a hybrid network (FAMDDA-T) comprising the Fuzzy ARTMAP (FAM) neural network and the Dynamic Decay Adjustment (DDA) algorithm with an online pruning strategy. Twelve benchmark datasets are used to demonstrate the effectiveness of FAMDDA-T. The results of FAMDDA-T are compared with those of FAMDDA (without pruning), and the Radial Basis Function Network with DDA (RBFN-DDA) as well as its pruning version (RBFN-DDA-T). It is observed that, when compared with other DDA-based networks, FAMDDA-T is able to form a parsimonious network structure and, at the same time, to maintain a high level of network generalization in tackling pattern classification problems. (c) 2006 Elsevier B.V. All rights reserved.
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spelling mmu-32472014-03-03T04:46:06Z http://shdl.mmu.edu.my/3247/ On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment TAN, S RAO, M LIM, C T Technology (General) QA75.5-76.95 Electronic computers. Computer science This paper presents a hybrid network (FAMDDA-T) comprising the Fuzzy ARTMAP (FAM) neural network and the Dynamic Decay Adjustment (DDA) algorithm with an online pruning strategy. Twelve benchmark datasets are used to demonstrate the effectiveness of FAMDDA-T. The results of FAMDDA-T are compared with those of FAMDDA (without pruning), and the Radial Basis Function Network with DDA (RBFN-DDA) as well as its pruning version (RBFN-DDA-T). It is observed that, when compared with other DDA-based networks, FAMDDA-T is able to form a parsimonious network structure and, at the same time, to maintain a high level of network generalization in tackling pattern classification problems. (c) 2006 Elsevier B.V. All rights reserved. ELSEVIER SCIENCE BV 2006-10 Article NonPeerReviewed text en http://shdl.mmu.edu.my/3247/1/1302.pdf TAN, S and RAO, M and LIM, C (2006) On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment. Neurocomputing, 69 (16-18). pp. 2456-2460. ISSN 09252312 http://dx.doi.org/10.1016/j.neucom.2006.01.027 doi:10.1016/j.neucom.2006.01.027 doi:10.1016/j.neucom.2006.01.027
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
TAN, S
RAO, M
LIM, C
On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment
title On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment
title_full On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment
title_fullStr On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment
title_full_unstemmed On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment
title_short On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment
title_sort on the reduction of complexity in the architecture of fuzzy artmap with dynamic decay adjustment
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/3247/
http://shdl.mmu.edu.my/3247/
http://shdl.mmu.edu.my/3247/
http://shdl.mmu.edu.my/3247/1/1302.pdf