An experimental study of the extended NRBF regression model and its enhancement for classification problem

As anextensionofthetraditional normalized radialbasis function (NRBF)model,the extended normalizedRBF (ENRBF) modelwas proposed by Xu [RBF nets, mixture experts, and Bayesian Ying-Yang learning, Neurocomputing 19 (1998) 223–257].Inthispaper,we perform a supplementary study on ENRBF with several prop...

Full description

Bibliographic Details
Main Authors:	Ma, L., Abdul Rahman, Abdul Wahab, Geok, See Ng, Erdogan, Sevki
Format:	Article
Language:	English
Published:	Elsevier 2008
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/38158/ http://irep.iium.edu.my/38158/ http://irep.iium.edu.my/38158/ http://irep.iium.edu.my/38158/1/An_experimental_study_of_the_extended_NRBF_regression_model_and_its_enhancement_for_classification_problem.pdf

id	iium-38158
recordtype	eprints
spelling	iium-381582014-09-10T08:00:39Z http://irep.iium.edu.my/38158/ An experimental study of the extended NRBF regression model and its enhancement for classification problem Ma, L. Abdul Rahman, Abdul Wahab Geok, See Ng Erdogan, Sevki T Technology (General) As anextensionofthetraditional normalized radialbasis function (NRBF)model,the extended normalizedRBF (ENRBF) modelwas proposed by Xu [RBF nets, mixture experts, and Bayesian Ying-Yang learning, Neurocomputing 19 (1998) 223–257].Inthispaper,we perform a supplementary study on ENRBF with several properly designed experiments and some further theoretical discussions. It is shown that ENRBF is able to efficiently improve the learning accuracies under some circumstances. Moreover, since the ENRBF model is initially proposed for the regression and function approximation problems, a further step is taken in this work to modify the ENRBF model to deal with the classification problems. Both the original ENRBF model and the new proposed ENRBF classifier (ENRBFC) can be viewed as the special cases of the mixture-of-experts (ME) model that is discussed in Xuetal. [An alternative model for mixtures of experts, in: Advances in Neural Information Processing Systems, MITPress, Cambridge, MA, 1995]. Experimental results show the potentials of ENRBFC compared to some other related classifiers. Elsevier 2008 Article PeerReviewed application/pdf en http://irep.iium.edu.my/38158/1/An_experimental_study_of_the_extended_NRBF_regression_model_and_its_enhancement_for_classification_problem.pdf Ma, L. and Abdul Rahman, Abdul Wahab and Geok, See Ng and Erdogan, Sevki (2008) An experimental study of the extended NRBF regression model and its enhancement for classification problem. Neurocomputing, 72. pp. 458-470. ISSN 0925-2312 http://www.sciencedirect.com/science/article/pii/S0925231207003906 10.1016/j.neucom.2007.12.011
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Ma, L. Abdul Rahman, Abdul Wahab Geok, See Ng Erdogan, Sevki An experimental study of the extended NRBF regression model and its enhancement for classification problem
description	As anextensionofthetraditional normalized radialbasis function (NRBF)model,the extended normalizedRBF (ENRBF) modelwas proposed by Xu [RBF nets, mixture experts, and Bayesian Ying-Yang learning, Neurocomputing 19 (1998) 223–257].Inthispaper,we perform a supplementary study on ENRBF with several properly designed experiments and some further theoretical discussions. It is shown that ENRBF is able to efficiently improve the learning accuracies under some circumstances. Moreover, since the ENRBF model is initially proposed for the regression and function approximation problems, a further step is taken in this work to modify the ENRBF model to deal with the classification problems. Both the original ENRBF model and the new proposed ENRBF classifier (ENRBFC) can be viewed as the special cases of the mixture-of-experts (ME) model that is discussed in Xuetal. [An alternative model for mixtures of experts, in: Advances in Neural Information Processing Systems, MITPress, Cambridge, MA, 1995]. Experimental results show the potentials of ENRBFC compared to some other related classifiers.
format	Article
author	Ma, L. Abdul Rahman, Abdul Wahab Geok, See Ng Erdogan, Sevki
author_facet	Ma, L. Abdul Rahman, Abdul Wahab Geok, See Ng Erdogan, Sevki
author_sort	Ma, L.
title	An experimental study of the extended NRBF regression model and its enhancement for classification problem
title_short	An experimental study of the extended NRBF regression model and its enhancement for classification problem
title_full	An experimental study of the extended NRBF regression model and its enhancement for classification problem
title_fullStr	An experimental study of the extended NRBF regression model and its enhancement for classification problem
title_full_unstemmed	An experimental study of the extended NRBF regression model and its enhancement for classification problem
title_sort	experimental study of the extended nrbf regression model and its enhancement for classification problem
publisher	Elsevier
publishDate	2008
url	http://irep.iium.edu.my/38158/ http://irep.iium.edu.my/38158/ http://irep.iium.edu.my/38158/ http://irep.iium.edu.my/38158/1/An_experimental_study_of_the_extended_NRBF_regression_model_and_its_enhancement_for_classification_problem.pdf
first_indexed	2023-09-18T20:54:47Z
last_indexed	2023-09-18T20:54:47Z
_version_	1777410231654940672

An experimental study of the extended NRBF regression model and its enhancement for classification problem

Similar Items