JOURNAL ARTICLE

<title>Optoelectronic neural network without global interneuron connections</title>

Yuri I. BalkareyAlexander S. CohenM. I. ElinsonMichael G. EvtikhovWalter H. JohnsonYuri N. OrlovP.I. Perov

Year: 1998 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 3402 Pages: 250-258   Publisher: SPIE

Abstract

A new neural network architecture with associative properties is proposed. Elements of every stored image obtain a special mark after local connections training. `All to all' connections are replaced by connections with a special Central Generator. It allows to unite all elements with the same mark into the whole image. The new architecture leads to a radical simplification of the connection system and therefore to the possibility of a large associative memory creation. Analog and digital optoelectronic versions are discussed.

Keywords:
Computer science Connection (principal bundle) Architecture Content-addressable memory Associative property Generator (circuit theory) Artificial neural network Computer hardware Topology (electrical circuits) Artificial intelligence Electrical engineering Power (physics) Physics Mathematics Pure mathematics

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Topics

Advanced Research in Systems and Signal Processing
Physical Sciences →  Engineering →  Control and Systems Engineering

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