Conference paper

ZBOŘIL František and ZBOŘIL František ml.. The use of the RCE Neural Network in a Pattern Recognition. In: 34th Spring International Conference Modelling and Simulation of Systems MOSIS 2000. Ostrava, 2000, pp. 65-70. ISBN 80-85988-44-5.
Publication language:english
Original title:The use of the RCE Neural Network in a Pattern Recognition
Title (cs):Použití RCE neuronové sítě pro rozpoznávání obrazů
Pages:65-70
Proceedings:34th Spring International Conference Modelling and Simulation of Systems MOSIS 2000
Conference:34th Spring International Conference on Modeling and Simulation of Systems MOSIS 2000
Place:Ostrava, CZ
Year:2000
ISBN:80-85988-44-5
Keywords
Neural Networks, RCE Classifier, Pattern Recognition
Annotation
A Restricted Coulomb Energy (RCE) neural network is a specific design of the hypespherical classifier proposed by Reilly in 1982 and it is suitable for classification of nonlinearly separable clusters of patterns in multidimensional pattern spaces. The paper deals with the use of the RCE neural network for the recognition of persons. Two sets of input patterns were used in described experiments. The first set contained pictures of person faces and the second set contained person fingerprints. The short principle and topology of the RCE neural network, learning and retrieving algorithms and mentioned experiments are described in the paper.
Abstract
The paper deals with the use of the RCE neural network for the recognition of persons. The short principle of the RCE neural network (topology, learning and retrieving) and mentioned experiments are described in the paper.
BibTeX:
@INPROCEEDINGS{
   author = {Franti{\v{s}}ek Zbo{\v{r}}il and ml. Franti{\v{s}}ek
	Zbo{\v{r}}il},
   title = {The use of the RCE Neural Network in a Pattern Recognition},
   pages = {65--70},
   booktitle = {34th Spring International Conference Modelling and
	Simulation of Systems MOSIS 2000},
   year = {2000},
   location = {Ostrava, CZ},
   ISBN = {80-85988-44-5},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=6610}
}

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