Paper
25 October 1993 Content-addressable polychromatic neural net using a specially doped LiNbO3 photorefractive crystal
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Abstract
In this paper, a polychromatic neural net using a specially doped LiNbO3 photorefractive crystal is presented. This neural net is a two-level high-content addressable memory. The first level is a polychromatic Hamming net for color image classification, and the second level is a mapping net, based on a photorefractive crystal associative memory. The major advantage of this neural net must be the large storage capacity and it requires fewer interconnection links. Experimental demonstrations are provided, in which we have shown that the proposed neural net is consistent with the theoretical model.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Francis T. S. Yu, Shizhuo Yin, and Chii-Maw Uang "Content-addressable polychromatic neural net using a specially doped LiNbO3 photorefractive crystal", Proc. SPIE 1959, Optical Pattern Recognition IV, (25 October 1993); https://doi.org/10.1117/12.160314
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Cited by 5 patents.
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KEYWORDS
Neural networks

Crystals

Neurons

Content addressable memory

Holograms

Optical pattern recognition

Holography

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