Modification Of The Hopfield Model And Its Optical Implementation For Correlated Images

Soo-Young Lee; Ju-Seog Jang; Jin-Soo Park; Sang-Yung Shin; Chang-Sup Shim

doi:10.1117/12.947930

8 February 1988 Modification Of The Hopfield Model And Its Optical Implementation For Correlated Images

Soo-Young Lee, Ju-Seog Jang, Jin-Soo Park, Sang-Yung Shin, Chang-Sup Shim

Proceedings Volume 0963, Optical Computing '88; (1988) https://doi.org/10.1117/12.947930
Event: Optical Computing '88, 1988, Toulon, France

Abstract

Introducing and optimizing bit-significance to the Hopfield model, ten highly correlated binary images, i.e., numbers "0" to "9", are successfully stored and retrieved in a 6x8 node system. Unlike many other neural networks models, this model has stronger error correction capability for correlated images such as "6", "8", "3", and "9". The bit-significance optimization is regarded as an adaptive learning process based on least-mean-square error algorithm, and may be implemented with another neural nets optimizer. A design for electro-optic implementation including the adaptive optimization networks is also introduced.

Citation Download Citation

Soo-Young Lee, Ju-Seog Jang, Jin-Soo Park, Sang-Yung Shin, and Chang-Sup Shim "Modification Of The Hopfield Model And Its Optical Implementation For Correlated Images", Proc. SPIE 0963, Optical Computing '88, (8 February 1988); https://doi.org/10.1117/12.947930

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