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Proceedings Paper

Optoelectronic neural network prototype with digital 3D holographic memory
Author(s): Hironori Sasaki; Jian Ma; Nicolas Mauduit; Yeshaiahu Fainman; Sing H. Lee
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Paper Abstract

Architectures of optoelectronic neural network modules based on digital 3-D holographic memory are evaluated in terms of holographic memory design, module scalability and learning capability. A feed-forward module with 900 inputs and 9 outputs with 12-bit interconnection accuracy and perceptron learning are demonstrated experimentally.

Paper Details

Date Published: 7 December 1994
PDF: 7 pages
Proc. SPIE 2430, Optical Memory & Neural Networks '94: Optical Neural Networks, (7 December 1994); doi: 10.1117/12.195599
Show Author Affiliations
Hironori Sasaki, Univ. of California/San Diego (United States)
Jian Ma, Univ. of California/San Diego (United States)
Nicolas Mauduit, Univ. of California/San Diego (United States)
Yeshaiahu Fainman, Univ. of California/San Diego (United States)
Sing H. Lee, Univ. of California/San Diego (United States)


Published in SPIE Proceedings Vol. 2430:
Optical Memory & Neural Networks '94: Optical Neural Networks
Andrei L. Mikaelian, Editor(s)

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