Publication Details
The use of the RCE Neural Network in a Pattern Recognition
Neural Networks, RCE Classifier, Pattern Recognition
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.
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.
@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",
address="Ostrava",
isbn="80-85988-44-5"
}