Content-addressable polychromatic neural net using a specially doped LiNbO3 photorefractive crystal

Francis T. S. Yu; Shizhuo Yin; Chii-Maw Uang

doi:10.1117/12.160314

25 October 1993 Content-addressable polychromatic neural net using a specially doped LiNbO3 photorefractive crystal

Francis T. S. Yu, Shizhuo Yin, Chii-Maw Uang

Proceedings Volume 1959, Optical Pattern Recognition IV; (1993) https://doi.org/10.1117/12.160314
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

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.

Citation Download Citation

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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