Fuzzy Evolutionary Probabilistic Neural Networks

Georgiou, V; Alevizos, P; Vrahatis, M

dc.contributor.author	Georgiou, V	en
dc.contributor.author	Alevizos, P	en
dc.contributor.author	Vrahatis, M	en
dc.date.accessioned	2014-03-01T02:51:20Z
dc.date.available	2014-03-01T02:51:20Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35489
dc.subject	Benchmark Problem	en
dc.subject	Binary Classification	en
dc.subject	Fuzzy Membership Function	en
dc.subject	Membership Function	en
dc.subject	particle swarm optimizer	en
dc.subject	Probabilistic Neural Network	en
dc.subject	Smoothing Parameter	en
dc.subject	Stochastic Algorithm	en
dc.title	Fuzzy Evolutionary Probabilistic Neural Networks	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-540-69939-2_11	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-540-69939-2_11	en
heal.publicationDate	2008	en
heal.abstract	One of the most frequently used models for classification tasks is the Probabilistic Neural Network. Several improvements of the Probabilistic Neural Network have been proposed such as the Evolutionary Probabilistic Neural Network that employs the Particle Swarm Optimization stochastic algorithm for the proper selection of its spread (smoothing) parameters and the prior probabilities. To further improve its performance, a fuzzy	en
heal.journalName	Artificial Neural Networks in Pattern Recognition	en
dc.identifier.doi	10.1007/978-3-540-69939-2_11	en