Paper
1 September 1990 Optical laboratory realization of a symbolic production system
David P. Casasent, Elizabeth C. Botha, Jin-Yun Wang, Ren-Chao Ye
Author Affiliations +
Abstract
An optical symbolic neural net is described. It uses an optical symbolic correlator. This produces a new input neuron representation space that is shift-invariant and can accommodate multiple objects. No other neural net can handle multiple objects within the field of view. Initial optical laboratory data are presented. An optical neural net production system processes this new neuron data. This aspect of the system is briefly described.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David P. Casasent, Elizabeth C. Botha, Jin-Yun Wang, and Ren-Chao Ye "Optical laboratory realization of a symbolic production system", Proc. SPIE 1295, Real-Time Image Processing II, (1 September 1990); https://doi.org/10.1117/12.21238
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Neural networks

Image filtering

Neurons

Optical filters

Optical correlators

Lamps

Computer programming

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