PARALLEL REWRITING IN NEURAL NETWORKS

Ekaterina Komendantskaya

Abstract

Rewriting systems are used in various areas of computer science, and especially in lambda-calculus, higherorder logics and functional programming. We show that the unsupervised learning networks can implement parallel rewriting. We show how this general correspondence can be refined in order to perform parallel term rewriting in neural networks, for any given first-order term. We simulate these neural networks in the MATLAB Neural Network Toolbox and present the complete library of functions written in the MATLAB Neural Network Toolbox.

References

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Paper Citation


in Harvard Style

Komendantskaya E. (2009). PARALLEL REWRITING IN NEURAL NETWORKS . In Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICNC, (IJCCI 2009) ISBN 978-989-674-014-6, pages 452-458. DOI: 10.5220/0002319704520458


in Bibtex Style

@conference{icnc09,
author={Ekaterina Komendantskaya},
title={PARALLEL REWRITING IN NEURAL NETWORKS},
booktitle={Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICNC, (IJCCI 2009)},
year={2009},
pages={452-458},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002319704520458},
isbn={978-989-674-014-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICNC, (IJCCI 2009)
TI - PARALLEL REWRITING IN NEURAL NETWORKS
SN - 978-989-674-014-6
AU - Komendantskaya E.
PY - 2009
SP - 452
EP - 458
DO - 10.5220/0002319704520458