Publication detail

Neural Network for Text Associations

ZBOŘIL, F.

Original Title

Neural Network for Text Associations

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

Neural Network, BAM, RCE Classifier

Authors

ZBOŘIL, F.

RIV year

2001

Released

1. 1. 2000

Location

Ostrava

ISBN

80-85988-51-8

Book

Proceedings of XXIInd International Colloquium ASIS 2000

Pages from

145

Pages to

150

Pages count

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"
}