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Learning Long Sequences in Binary Neural Networks

Authors:
Xiaoran Jiang
Vincent Gripon
Claude Berrou

Keywords: oriented neural network; learning machine; associative memory; sparse coding; directed graph; sequential learning; efficiency.

Abstract:
An original architecture of oriented sparse neural networks that enables the introduction of sequentiality in associative memories is proposed in this paper. This architecture can be regarded as a generalization of a non-oriented binary network based on cliques recently proposed. Using a limited neuron resource, the network is able to learn very long sequences and to retrieve them from only the knowledge of any sequence of consecutive symbols.

Pages: 165 to 170

Copyright: Copyright (c) IARIA, 2012

Publication date: July 22, 2012

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-218-9

Location: Nice, France

Dates: from July 22, 2012 to July 27, 2012