An adaptable Gaussian neuro-fuzzy classifier

Pertselakis, M; Frossyniotis, D; Stafylopatis, A

dc.contributor.author	Pertselakis, M	en
dc.contributor.author	Frossyniotis, D	en
dc.contributor.author	Stafylopatis, A	en
dc.date.accessioned	2014-03-01T01:18:37Z
dc.date.available	2014-03-01T01:18:37Z
dc.date.issued	2003	en
dc.identifier.issn	0302-9743	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/15113
dc.subject	Adaptive Behavior	en
dc.subject	Automatic Classification	en
dc.subject	Computer Application	en
dc.subject	Context Aware	en
dc.subject	Data Gathering	en
dc.subject	Gaussian Distribution	en
dc.subject	Information Society	en
dc.subject	Intelligent System	en
dc.subject	neuro fuzzy	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.other	ALGORITHM	en
dc.title	An adaptable Gaussian neuro-fuzzy classifier	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/3-540-44989-2_110	en
heal.identifier.secondary	http://dx.doi.org/10.1007/3-540-44989-2_110	en
heal.language	English	en
heal.publicationDate	2003	en
heal.abstract	The concept of semantic and context aware intelligent systems provides a vision for the Information Society where the emphasis lays on computing applications that can sense context from the people and the environment and wrap that knowledge into adaptable behavior. In this framework the proper and automatic classification of data gathered by sensors is of major importance. Our approach describes a model that operates as a self-evaluating classifier using on-line re-clustering, addressing adequately the basic issues of modern demands. The novelty of the model lies in a flexible and efficient initialization technique that first partitions the data space utilizing Gaussian distributions and then merges clusters so as to produce an effective partitioning. © Springer-Verlag Berlin Heidelberg 2003.	en
heal.publisher	SPRINGER-VERLAG BERLIN	en
heal.journalName	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)	en
heal.bookName	LECTURE NOTES IN COMPUTER SCIENCE	en
dc.identifier.doi	10.1007/3-540-44989-2_110	en
dc.identifier.isi	ISI:000185378100110	en
dc.identifier.volume	2714	en
dc.identifier.spage	925	en
dc.identifier.epage	932	en