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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
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" }