Please use this identifier to cite or link to this item: http://dspace.uniten.edu.my/jspui/handle/123456789/8888
Title: A new hybrid fuzzy ARTMAP and radial basis function neural network with online pruning strategy
Authors: Leow, S.Y. 
Wong, S.Y. 
Yap, K.S. 
Yap, H.J. 
Issue Date: 2017
Abstract: In this paper, a new online learning algorithm is proposed to learn a data sample in hybrid mode. This new algorithm is developed and referred as Growing and Pruning - Fuzzy ARTMAP-radial basis function (GAP-FAM-RBF) neural network. In this algorithm, fuzzy ARTMAP (FAM) network learns from training samples and radial basis function (RBF) network provides viable solutions. The GAP-FAM-RBF that proposed is able to learn online from the first data samples. The insignificant hidden neurons will be pruned. The performance of this algorithm is evaluated on regression applications. © 2016 IEEE.
DOI: 10.1109/ICSGRC.2016.7813294
Appears in Collections:COE Scholarly Publication

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