Accession Number : ADA191668
Title : Theoretical Investigation of Optical Computing Based on Neural Network Models.
Descriptive Note : Annual rept. 30 Sep 86-29 Sep 87,
Corporate Author : CALIFORNIA INST OF TECH PASADENA DEPT OF ELECTRICAL ENGINEERING
Personal Author(s) : Abu-Mostafa, Yaser ; Psaltis, Demetri
PDF Url : ADA191668
Report Date : 29 Sep 1987
Pagination or Media Count : 84
Abstract : It is difficult to find good mathematical models for many natural problems such as pattern recognition. Not only does this difficulty preclude finding good solutions for these problems, but it also precludes estimating their complexity using the standard tools of the theory oc computational complexity (Traub, 1985). Part of the difficulty can be traced to symptoms such as ill-definition, fuzziness, and inexactness. However, the difficulty of modeling these problems may be inherent in some cases. Keywords: Photorefractive crystals; Adaptive optical networks; Connectivity; Entropy; Holograms.
Descriptors : *HOLOGRAMS, *OPTICAL PROPERTIES, *PATTERN RECOGNITION, ADAPTIVE SYSTEMS, COMPUTATIONS, MATHEMATICAL MODELS, NETWORKS, NEURAL NETS, OPTICAL PROCESSING, THEORY, BOOLEAN ALGEBRA, ENTROPY
Subject Categories : Bionics
Computer Programming and Software
Distribution Statement : APPROVED FOR PUBLIC RELEASE