Multicolor neural network using cascaded color LCTVs

Kenji Matsushita; Chii-Maw Uang; Xiangyang Yang; Reeser Wade; Francis T. S. Yu

doi:10.1117/12.131193

30 October 1992 Multicolor neural network using cascaded color LCTVs

Kenji Matsushita, Chii-Maw Uang, Xiangyang Yang, Reeser Wade, Francis T. S. Yu

Proceedings Volume 1812, Optical Computing and Neural Networks; (1992) https://doi.org/10.1117/12.131193
Event: International Symposium on Optoelectronics in Computers, Communications, and Control, 1992, Hsinchu, Taiwan

Abstract

One of the important aspects of a neural network is the exploration of the spatial content of the object under observation in this connection. We shall present a color optical neural network using inexpensive package-size liquid crystal televisions (LCTVs). By introducing a color encoding technique in conjunction with a conventional white light source, a multicolor neural net is synthesized. We have shown that by exploiting the spectral component of the LCTVs storage capacity of the neural net can be improved. Simulations as well as experimental results obtained from the proposed LCTV color neural net are provided, in which the effects due to noise and due to color crosstalk are addressed.

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Kenji Matsushita, Chii-Maw Uang, Xiangyang Yang, Reeser Wade, and Francis T. S. Yu "Multicolor neural network using cascaded color LCTVs", Proc. SPIE 1812, Optical Computing and Neural Networks, (30 October 1992); https://doi.org/10.1117/12.131193

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KEYWORDS

Neural networks

Signal detection

Liquid crystals

Computer programming

Detector arrays

Holography

Neurons

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