A fuzzy neural network approach based on Dirichlet tesselations for nearest neighbor classification of patterns

Blekas, K; Likas, A; Stafylopatis, A

dc.contributor.author	Blekas, K	en
dc.contributor.author	Likas, A	en
dc.contributor.author	Stafylopatis, A	en
dc.date.accessioned	2014-03-01T02:48:17Z
dc.date.available	2014-03-01T02:48:17Z
dc.date.issued	1995	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33698
dc.subject	Fuzzy Membership Function	en
dc.subject	Fuzzy Neural Network	en
dc.subject	Fuzzy Set	en
dc.subject	Nearest Neighbor Classification	en
dc.subject	Neural Network Classifier	en
dc.subject	Pattern Classification	en
dc.subject	voronoi diagram	en
dc.title	A fuzzy neural network approach based on Dirichlet tesselations for nearest neighbor classification of patterns	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/NNSP.1995.514889	en
heal.identifier.secondary	http://dx.doi.org/10.1109/NNSP.1995.514889	en
heal.publicationDate	1995	en
heal.abstract	A neural network classifier using fuzzy set representation of pattern classes is presented. Network construction and learning is performed incrementally in a single pass by building an aggregate of space-filling regions that constitutes a simplified variant of the construction known as Dirichlet tesselation (or Voronoi diagram). Each region is delimited by a set of hyperplanes and is endowed by a	en
heal.journalName	IEEE XIII Workshop on Neural Networks for Signal Processing	en
dc.identifier.doi	10.1109/NNSP.1995.514889	en