Result Details
Neural Network for Text Associations
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.
Neural Network, BAM, RCE Classifier
The paper deals with a neural network based on the principle of the Restricted Coulomb Energy classifier, that works as a heteroassociative memory. The short principles of the proposed neural network - topology, learning and retrieving - are described here.
@inproceedings{BUT5418,
author="František {Zbořil}",
title="Neural Network for Text Associations",
booktitle="Proceedings of XXIInd International Colloquium ASIS 2000",
year="2000",
pages="145--150",
publisher="Marq software s.r.o.",
address="Ostrava",
isbn="80-85988-51-8"
}