Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility

This paper presents a hybrid neural network classifier of fuzzy ARTMAP (FAM) and the dynamic decay adjustment (DDA) algorithm. The proposed FAMDDA model is a conflict-resolving classifier that can perform stable and incremental learning while settling overlapping of hyper-rectangular prototypes of d...

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Main Authors: Tan, Shing Chiang, Rao, M.V.C., Lim, Chee Peng
Format: Article
Published: ELSEVIER SCIENCE BV 2008
Subjects:
Online Access:http://shdl.mmu.edu.my/2780/
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author Tan, Shing Chiang
Rao, M.V.C.
Lim, Chee Peng
author_facet Tan, Shing Chiang
Rao, M.V.C.
Lim, Chee Peng
author_sort Tan, Shing Chiang
building MMU Institutional Repository
collection Online Access
description This paper presents a hybrid neural network classifier of fuzzy ARTMAP (FAM) and the dynamic decay adjustment (DDA) algorithm. The proposed FAMDDA model is a conflict-resolving classifier that can perform stable and incremental learning while settling overlapping of hyper-rectangular prototypes of different classes in minimizing misclassification rates. The performance of FAMDDA is evaluated using a number of benchmark data sets. The results are analyzed and compared with those from FAM and a number of machine learning classifiers. The outcomes show that FAMDDA has a better generalization capability than FAM, and its performance is comparable with those from other classifiers. The effectiveness of FAMDDA is also demonstrated in an application pertaining to condition monitoring of a circulating water system in a power generation station. Implications on the effectiveness of FAMDDA from the application point of view are discussed. (C) 2007 Elsevier B. V. All rights reserved.
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spelling mmu-27802011-09-14T02:54:40Z http://shdl.mmu.edu.my/2780/ Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility Tan, Shing Chiang Rao, M.V.C. Lim, Chee Peng T Technology (General) QA75.5-76.95 Electronic computers. Computer science This paper presents a hybrid neural network classifier of fuzzy ARTMAP (FAM) and the dynamic decay adjustment (DDA) algorithm. The proposed FAMDDA model is a conflict-resolving classifier that can perform stable and incremental learning while settling overlapping of hyper-rectangular prototypes of different classes in minimizing misclassification rates. The performance of FAMDDA is evaluated using a number of benchmark data sets. The results are analyzed and compared with those from FAM and a number of machine learning classifiers. The outcomes show that FAMDDA has a better generalization capability than FAM, and its performance is comparable with those from other classifiers. The effectiveness of FAMDDA is also demonstrated in an application pertaining to condition monitoring of a circulating water system in a power generation station. Implications on the effectiveness of FAMDDA from the application point of view are discussed. (C) 2007 Elsevier B. V. All rights reserved. ELSEVIER SCIENCE BV 2008 Article NonPeerReviewed Tan, Shing Chiang and Rao, M.V.C. and Lim, Chee Peng (2008) Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility. Applied Soft Computing, 8 (1). pp. 543-554. ISSN 15684946 http://dx.doi.org/10.1016/j.asoc.2007.03.006 doi:10.1016/j.asoc.2007.03.006 doi:10.1016/j.asoc.2007.03.006
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Tan, Shing Chiang
Rao, M.V.C.
Lim, Chee Peng
Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility
title Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility
title_full Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility
title_fullStr Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility
title_full_unstemmed Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility
title_short Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility
title_sort fuzzy artmap dynamic decay adjustment: an improved fuzzy artmap model with a conflict resolving facility
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/2780/
http://shdl.mmu.edu.my/2780/
http://shdl.mmu.edu.my/2780/