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ZBOŘIL, F.; ZBOŘIL, F.
Original Title
The use of the RCE Neural Network in a Pattern Recognition
English Title
Type
Paper in proceedings outside WoS and Scopus
Original Abstract
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.
English abstract
Keywords
Neural Networks, RCE Classifier, Pattern Recognition
Key words in English
Authors
Released
01.01.2000
Publisher
Marq software s.r.o.
Location
Ostrava
ISBN
80-85988-44-5
Book
34th Spring International Conference Modelling and Simulation of Systems MOSIS 2000
Pages from
65
Pages to
70
Pages count
6
BibTex
@inproceedings{BUT5419, author="František {Zbořil} and František {Zbořil}", title="The use of the RCE Neural Network in a Pattern Recognition", booktitle="34th Spring International Conference Modelling and Simulation of Systems MOSIS 2000", year="2000", pages="65--70", publisher="Marq software s.r.o.", address="Ostrava", isbn="80-85988-44-5" }