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

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

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Official URL: http://dx.doi.org/10.1016/j.neucom.2006.01.027

Abstract

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.

Item Type: Article
Subjects: T Technology > T Technology (General)
Q Science > QA Mathematics > QA75.5-76.95 Electronic computers. Computer science
Divisions: Faculty of Engineering and Technology (FET)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 13 Oct 2011 06:29
Last Modified: 03 Mar 2014 04:46
URI: http://shdl.mmu.edu.my/id/eprint/3247

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