Performance evaluation and dynamic node generation criteria for 'principal component analysis' neural networks

Tzafestas, ES; Nikolaidou, A; Tzafestas, SG

dc.contributor.author	Tzafestas, ES	en
dc.contributor.author	Nikolaidou, A	en
dc.contributor.author	Tzafestas, SG	en
dc.date.accessioned	2014-03-01T01:15:46Z
dc.date.available	2014-03-01T01:15:46Z
dc.date.issued	2000	en
dc.identifier.issn	0378-4754	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13732
dc.subject	neural networks	en
dc.subject	data projection	en
dc.subject	principal component analysis	en
dc.subject	PCA neural network evaluation	en
dc.subject	dynamic node generation	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.classification	Mathematics, Applied	en
dc.subject.other	EXTRACTION	en
dc.subject.other	PROJECTION	en
dc.title	Performance evaluation and dynamic node generation criteria for 'principal component analysis' neural networks	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0378-4754(99)00113-5	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0378-4754(99)00113-5	en
heal.language	English	en
heal.publicationDate	2000	en
heal.abstract	This paper is concerned with the solution of the principal component analysis (PCA) problem with the aid of neural networks (NNs). After an overview of the basic NN-based PCA concepts and a listing of the available algorithms, two criteria for evaluating PCA NN algorithms are proposed. Then, a new criterion for the generation of improved PCA NN structures with reduced size is presented. Using this criterion, one can start with a small network and dynamically add new nodes at the hidden layer(s) during training, one at a time, until the desired performance is achieved. A simulation example is provided that shows the applicability and effectiveness of the methodology (C) 2000 IMACS/Elsevier Science B.V. All rights reserved.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	MATHEMATICS AND COMPUTERS IN SIMULATION	en
dc.identifier.doi	10.1016/S0378-4754(99)00113-5	en
dc.identifier.isi	ISI:000084223700002	en
dc.identifier.volume	51	en
dc.identifier.issue	3-4	en
dc.identifier.spage	145	en
dc.identifier.epage	156	en