DocumentCode
1578494
Title
An optical adaptive resonance neural network utilizing phase conjugation
Author
Wunsch, Donald C., II ; Morris, D.J. ; Caudell, Thomas P. ; Falk, R. Aaron
Author_Institution
Boeing Co., Seattle, WA, USA
fYear
1992
Firstpage
615
Abstract
An adaptive resonance (ART) device has been conceived that is fully optical in the input-output processing path. It is based on holographic information processing in a phase-conjugating crystal. This sets up an associative pattern retrieval in a resonating loop utilizing angle-multiplexed reference beams for pattern classification. A reset mechanism is used to reject any given beam, allowing an ART search strategy. The design is similar to an existing nonlearning optical associative memory, but it does allow learning and makes use of information the other device discards. This device is expected to offer higher information storage density than alternative ART implementations
Keywords
adaptive optics; holographic storage; optical neural nets; optical phase conjugation; pattern recognition; angle-multiplexed reference beams; associative pattern retrieval; holographic information processing; optical adaptive resonance neural network; pattern classification; phase conjugation; phase-conjugating crystal; reset mechanism; Adaptive optics; Adaptive systems; Holographic optical components; Holography; Neural networks; Optical computing; Optical devices; Optical fiber networks; Resonance; Subspace constraints;
fLanguage
English
Publisher
ieee
Conference_Titel
Neuroinformatics and Neurocomputers, 1992., RNNS/IEEE Symposium on
Conference_Location
Rostov-on-Don
Print_ISBN
0-7803-0809-3
Type
conf
DOI
10.1109/RNNS.1992.268572
Filename
268572
Link To Document