Paper
7 December 1994 Image recognition by means of two-layer holographic neural network
Victor I. Kozik, Oleg I. Potaturkin
Author Affiliations +
Proceedings Volume 2430, Optical Memory & Neural Networks '94: Optical Neural Networks; (1994) https://doi.org/10.1117/12.195607
Event: Optical Memory and Neural Networks: International Conference, 1994, Moscow, Russian Federation
Abstract
A hybrid optical-electronic system for pattern recognition based on a neural network model is under discussion. A structure of two-layered holographic neural network is proposed. In order to improve the iteration process an auxiliary sublayer with local connections is added to the first layer. A new class of optical high-performance processors -- intensity-linear holographic correlators to provide global connections in both layers of the neural network is proposed and discussed.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Victor I. Kozik and Oleg I. Potaturkin "Image recognition by means of two-layer holographic neural network", Proc. SPIE 2430, Optical Memory & Neural Networks '94: Optical Neural Networks, (7 December 1994); https://doi.org/10.1117/12.195607
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KEYWORDS
Optical correlators

Holography

Neural networks

Optical filters

Optical pattern recognition

Correlation function

Diffraction

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