Paper
1 November 1991 Optical auto- and heteroassociative memory based on a high-order neural network
Boris S. Kiselyov, Nickolay Yu Kulakov, Andrei L. Mikaelian, Vladimir A. Shkitin
Author Affiliations +
Proceedings Volume 1621, Optical Memory and Neural Networks; (1991) https://doi.org/10.1117/12.50440
Event: Optical Memory and Neural Networks, 1991, Zvenigorod, Russian Federation
Abstract
The high-order associative memory model is considered. Its optical implementation for bipolar vectors is proposed. A bit weighting method increasing the efficiency of the recognition of high-correlated patterns with the model order being decreased is proposed. Spatio-temporal and hetero-associative memory systems are considered. Numerical simulation results are given.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Boris S. Kiselyov, Nickolay Yu Kulakov, Andrei L. Mikaelian, and Vladimir A. Shkitin "Optical auto- and heteroassociative memory based on a high-order neural network", Proc. SPIE 1621, Optical Memory and Neural Networks, (1 November 1991); https://doi.org/10.1117/12.50440
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KEYWORDS
Neural networks

Polarization

Content addressable memory

Optical storage

Data modeling

Modulators

Feature extraction

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