Detail publikace

Neural Network for Text Associations

ZBOŘIL, F.

Originální název

Neural Network for Text Associations

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

The paper proposes a new neural network based on the principle of the Restricted Coulomb Energy (RCE) classifier. The network has three layers of neurons and it works as a heteroassociative memory. The short principles of the proposed neural network - topology, learning and retrieving - are described in the paper. Experiments with text lines associations that have been done with this neural network and with the Bidirectional Associative Memory (BAM) and a comparison of these results are described in the paper, too.

Klíčová slova

Neural Network, BAM, RCE Classifier

Autoři

ZBOŘIL, F.

Rok RIV

2001

Vydáno

1. 1. 2000

Místo

Ostrava

ISBN

80-85988-51-8

Kniha

Proceedings of XXIInd International Colloquium ASIS 2000

Strany od

145

Strany do

150

Strany počet

6

BibTex

@inproceedings{BUT5418,
  author="František {Zbořil}",
  title="Neural Network for Text Associations",
  booktitle="Proceedings of XXIInd International Colloquium ASIS 2000",
  year="2000",
  pages="145--150",
  address="Ostrava",
  isbn="80-85988-51-8"
}