Photorefractive Adaptive Resonance Neural Network

Author

Donald C. Wunsch, Missouri University of Science and TechnologyFollow
Danil Prokhorov
Rick L. McGann
Thomas P. Caudell

Abstract

This paper describes a new optical processing devices that can handle large patterns and can accommodate a large template. The design, layout of the system which uses holographic information processing in photorefractive crystals is given. The operating principle for pattern classification is explained. It is proposed that it can be applied to high-resolution image processing which requires large input fields, where its high storage density gives a distinct performance edge over other schemes that cannot process the large number of pixels.

Recommended Citation

D. C. Wunsch et al., "Photorefractive Adaptive Resonance Neural Network," Applied Optics, vol. 32, no. 8, pp. 1399 - 1407, Optical Society of America, Jan 1993.

The definitive version is available at https://doi.org/10.1364/AO.32.001399

Department(s)

Electrical and Computer Engineering

International Standard Serial Number (ISSN)

0003-6935

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 1993 Optical Society of America, All rights reserved.

Publication Date

01 Jan 1993