Paper
22 May 1990 Implementations Of Neural Network Models By Using Coherent Optics
Eung Gi Paek, John R. Wullert II, A. Von Lehmen, J. S. Patel, M. Jain, A. Scherer, J. Harbison, L. T. Florez, H. J. Yoo, R. Martin
Author Affiliations +
Abstract
Several implementations of neural network models by using coherent optics are described, with emphasis on the advantages of coherent optics. Furthermore, by using the recently developed surface emitting micro-laser diode array, the systems can be made compact and robust, still preserving the power of coherent optics.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Eung Gi Paek, John R. Wullert II, A. Von Lehmen, J. S. Patel, M. Jain, A. Scherer, J. Harbison, L. T. Florez, H. J. Yoo, and R. Martin "Implementations Of Neural Network Models By Using Coherent Optics", Proc. SPIE 1150, Spatial Light Modulators and Applications III, (22 May 1990); https://doi.org/10.1117/12.962195
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Cited by 2 scholarly publications.
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KEYWORDS
Neural networks

Holograms

Holography

3D image reconstruction

Coherent optics

Optical correlators

Content addressable memory

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