Publication detail

The use of the RCE Neural Network in a Pattern Recognition

ZBOŘIL, F., ZBOŘIL, F.

Original Title

The use of the RCE Neural Network in a Pattern Recognition

English Title

The use of the RCE Neural Network in a Pattern Recognition

Type

conference paper

Language

en

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

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.

Keywords

Neural Networks, RCE Classifier, Pattern Recognition

RIV year

2001

Released

01.01.2000

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

Documents

BibTex


@inproceedings{BUT5419,
  author="František {Zbořil} and František {Zbořil}",
  title="The use of the RCE Neural Network in a Pattern Recognition",
  annote="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.",
  booktitle="34th Spring International Conference Modelling and Simulation of Systems MOSIS 2000",
  chapter="5419",
  year="2000",
  month="january",
  pages="65--70",
  type="conference paper"
}