Proceedings Paper
Holographic neural networks by forward feedback| Format | Member Price | Non-Member Price |
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Paper Abstract
Optical neural networks are imitative of human brain's handling in an associative and
parallel manner. It can recall complete and undistorted stored data when it is prompted
by a partial or distorted version of the data. It possesses excellent capability of making correction for error.
Paper Details
Date Published: 1 July 1990
PDF: 1 pages
Proc. SPIE 1319, Optics in Complex Systems, (1 July 1990); doi: 10.1117/12.22238
Published in SPIE Proceedings Vol. 1319:
Optics in Complex Systems
F. Lanzl; H.-J. Preuss; G. Weigelt, Editor(s)
PDF: 1 pages
Proc. SPIE 1319, Optics in Complex Systems, (1 July 1990); doi: 10.1117/12.22238
Show Author Affiliations
Shining Yang, Guangzhou Institute of Electronic Technology (China)
Tianji Wang, Guangzhou Institute of Electronic Technology (China)
Yaotang Li, Guangzhou Institute of Electronic Technology (China)
Tianji Wang, Guangzhou Institute of Electronic Technology (China)
Yaotang Li, Guangzhou Institute of Electronic Technology (China)
Shaowu Fan, Guangzhou Institute of Electronic Technology (China)
Shichao Zhang, Guangzhou Institute of Electronic Technology (China)
Huanrong Wen, Guangzhou Institute of Electronic Technology (China)
Shichao Zhang, Guangzhou Institute of Electronic Technology (China)
Huanrong Wen, Guangzhou Institute of Electronic Technology (China)
Published in SPIE Proceedings Vol. 1319:
Optics in Complex Systems
F. Lanzl; H.-J. Preuss; G. Weigelt, Editor(s)
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