Použití RCE neuronové sítě pro rozpoznávání obrazů

The use of the RCE Neural Network in a Pattern Recognition

článek ve sborníku mimo WoS a Scopus

en

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.

RCE neuronová síť je specifickou realizací klasifikátoru navrženého Reillym v r. 1982 a je velmi vhodná pro klasifikaci nelineárně separovatelných shluků v multidimenzionálním obrazovém prostoru.

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.

Neural Networks, RCE Classifier, Pattern Recognition

2001

01.01.2000

Ostrava

80-85988-44-5

34th Spring International Conference Modelling and Simulation of Systems MOSIS 2000

65–70

6