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Recognition of Properties by Probabilistic Neural Networks

SYSNO ASEP	0329489
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Recognition of Properties by Probabilistic Neural Networks
Title	Rozpoznávání vlastností pomocí praděpodobnostních neuronových sítí
Author(s)	Grim, Jiří (UTIA-B)_{RID, ORCID} Hora, Jan (UTIA-B)
Source Title	Artificial Neural Networks - ICANN 2009, 2 - Part II. - Berlin, Heidelberg : Springer Verlag, 2009 / Polycarpou Marios ; Alipi Cesare ; Panayiotou Christos ; Ellinas Georgios - ISSN 0302-9743 - ISBN 3-642-04276-7
Pages	s. 165-174
Number of pages	10 s.
Publication form	www - www
Action	19th International Conference on Artificia Neural Networks
Event date	14.09.2009-17.09.2009
VEvent location	Limassol
Country	CY - Cyprus
Event type	WRD
Language	eng - English
Country	DE - Germany
Keywords	Probabilistic Neural Networks ; Non-Exclusive Classes ; One-Class Classifiers ; Biological Compatibility
Subject RIV	IN - Informatics, Computer Science
R&D Projects	1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
	GA102/07/1594 GA ČR - Czech Science Foundation (CSF)
CEZ	AV0Z10750506 - UTIA-B (2005-2011)
Annotation	The statistical pattern recognition based on Bayes formula implies the concept of mutually exclusive classes. This assumption is not applicable when we have to identify some non-exclusive properties and therefore it is unnatural in biological neural networks. Considering the framework of probabilistic neural networks we propose statistical identification of non-exclusive properties by using one-class classifiers.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
Year of Publishing	2010

Number of the records: 1