Neural-like holographic information system for processing of optical signals

Yuri N. Kulchin; Oleg B. Vitric; Igor V. Denisov; Oleg T. Kamenev; Oleg V. Kirichenko

doi:10.1117/12.304968

1 April 1998 Neural-like holographic information system for processing of optical signals

Yuri N. Kulchin, Oleg B. Vitric, Igor V. Denisov, Oleg T. Kamenev, Oleg V. Kirichenko

Proceedings Volume 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks; (1998) https://doi.org/10.1117/12.304968
Event: Optical Information Science and Technology, 1997, Moscow, Russian Federation

Abstract

The main advantages of a neural networks are the flexibility of architecture and ability to training. It allows to perform data processing even when the processing procedure can not be present by the known function. The neural networks based on optical elements allow real time operation rather than electronic neural networks. We offered system, based on neural networks, capabling to solve a broad class of heterogeneous problems and adapting to input information flow. The system are based on neural networks of two types: (1) a single-pass network of perceptron type and (2) recognize network of Hopfield network type. The neural network of the type (1) is realized by holographic scheme and experimental checked when processing the signals fiber- optic measuring network.

Citation Download Citation

Yuri N. Kulchin, Oleg B. Vitric, Igor V. Denisov, Oleg T. Kamenev, and Oleg V. Kirichenko "Neural-like holographic information system for processing of optical signals", Proc. SPIE 3402, Optical Information Science and Technology (OIST97): Optical Memory and Neural Networks, (1 April 1998); https://doi.org/10.1117/12.304968

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KEYWORDS

Neural networks

Signal processing

Data processing

Holography

Neurons

Holograms

Optical components

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