Paper
11 December 2002 Prospects of liqud crystal structures application in instrumental realizations of neural network matrix-tensor equivalental models (MTEM)
Vladimir G. Krasilenko, A. E. Nikolsky, M. Y. Bilynska, A. L. Pastushenko
Author Affiliations +
Proceedings Volume 4938, Selected Papers from the International Conference on Spectroscopy of Molecules and Crystals; (2002) https://doi.org/10.1117/12.486651
Event: XV International School on Spectroscopy of Molecules and Crystals, 2001, Chernivsti, Ukraine
Abstract
The structures of optical neural nets (NN) based on new matrix-tensor equivalental models (MTEMs) and algorithms are described in this article. MTE models are neuroparadigm of non-iterative type, which is a generalization of Hopfield and Hamming networks. The adaptive multi-layer networks, auto-associative and hetero-associative memory of 2-D images of high order can be built on the basis of MTEMs. The capacity of such networks in comparison with capacity of Hopfield networks is increased. The results of modeling show that the number of neurons in neural network MTEMs is 10-20 thousand and more. The problems of trailing of such networks, different modifications, including networks with double adaptive-equivalent autoweighing of weights, organization of computing process in different modes of network are discussed. The basic components of networks: matrix-tensor 'equivalentors' and variants of their realization on the basis of liquid-crystal structures and optical multipliers with spatial and time integration are considered. The efficiency of proposed optical neural networks on the basis of MTEMs is evaluated for both variants on the level of 109 connections per second. Modified optical connections are realized as liquid-crystal television screens.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vladimir G. Krasilenko, A. E. Nikolsky, M. Y. Bilynska, and A. L. Pastushenko "Prospects of liqud crystal structures application in instrumental realizations of neural network matrix-tensor equivalental models (MTEM)", Proc. SPIE 4938, Selected Papers from the International Conference on Spectroscopy of Molecules and Crystals, (11 December 2002); https://doi.org/10.1117/12.486651
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Neural networks

Neurons

Systems modeling

Spatial light modulators

Instrument modeling

Integrated optics

Liquid crystals

Back to Top