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 |
Show full item record
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.