Detail publikace

Neural Network for Text Associations

ZBOŘIL, F.

Anglický název

Neural Network for Text Associations

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

en

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.

Anglický 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 anglicky

Neural Network, BAM, RCE Classifier

Rok RIV

2001

Vydáno

01.01.2000

Místo

Ostrava

ISBN

80-85988-51-8

Kniha

Proceedings of XXIInd International Colloquium ASIS 2000

Strany od–do

145–150

Počet stran

6

BIBTEX


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