Paper
24 October 1997 Erasable-dye-polymer-based optical neural network
Author Affiliations +
Abstract
The search for a dynamic recording medium that can be used in real time without the need for processing has become a critical issue in the development of practical neural network systems, correlators, all-optic switches, image and signal processors, and optical storage devices. A typical optical material respond to changes in the intensity, polarization, or wavelength of the illuminating light. The optical material developed and used for neural network applications responds to changes in the polarization of blur or green laser light. Implementing a neural network or performing optically-controlled acoustic beam steering requires a high-speed read/write/erase optical memory. POCs erasable dye polymer material offers a high read/write/erase data rate, nondestructive reading, fast data access, high storage density, overwrite capability, and long cycle life.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gajendra D. Savant, Andrew A. Kostrzewski, Tomasz P. Jannson, Stephen A. Kupiec, and Dai Hyun Kim "Erasable-dye-polymer-based optical neural network", Proc. SPIE 3159, Algorithms, Devices, and Systems for Optical Information Processing, (24 October 1997); https://doi.org/10.1117/12.292737
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KEYWORDS
Polymers

Neural networks

Polarization

Holography

Molecules

Data storage

Holograms

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