Paper
2 August 1995 Liquid crystal cells and optical fibers in neural network implementation
Author Affiliations +
Proceedings Volume 2372, Liquid Crystals: Materials Science and Applications; (1995) https://doi.org/10.1117/12.215564
Event: Liquid Crystals: Materials Science and Applications, 1994, Zakopane, Poland
Abstract
Optical binary computer may be as easy to operate as parallel system. For such configuration Boolean logic is not very convenient and therefore neural networks should be introduced. In works leading to the paper we used liquid crystal cells as a standard system of liquid crystalline layer between to conducting electrodes in 'sandwich' geometry. We have used 25 micrometers display cells filled with nematic 6CHBT working on 'twisted nematic' effect. Based on such elements a mode of a simple Hopfield network was set up. More advanced experiments were carried out on a model of neurone with supervised learning. The model consists of four laser diodes pigtailed to the multimode optical fibers with 50 micrometers core diameter. The directional couplers help to control the level of input optical power. Four liquid crystal cells allow to change the transmission level according to superivised learning requirements. All the signals were detected by one photodiode. The presented results of experiments are in excellent agreement with theoretical predictions. An additional study was done to check the possibility to build up a linear neural network with Grossberg layer, a neural network with Kohonen layer, and a counter propagation network with two layers of neurones. We have proved that such models may be set up based on simple liquid crystals cells and optical fiber networks.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Andrzej W. Domanski, Ryszard Buczynski, and Marek Wojciech Sierakowski "Liquid crystal cells and optical fibers in neural network implementation", Proc. SPIE 2372, Liquid Crystals: Materials Science and Applications, (2 August 1995); https://doi.org/10.1117/12.215564
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Cited by 2 scholarly publications.
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KEYWORDS
Liquid crystals

Optical fibers

Neural networks

Signal detection

Machine learning

Binary data

Logic

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