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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151277
Doc. No : ET23069
Main Entry : JOE BOOTH
Title Proper : USING NEURAL NETWORKS TO ENHANCE THE OPERATION OF OPTICAL COWLATORS IN IMAGE RECOGNITION APPLICATIONS
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : Much research has been devoted to the development of compact optical correlators.optimal correlation filters. and high h m e rate optical modulators for applications inautomatic pattern recognition. However, little has been done to automate the analysis ofcorrelation plane imagery. Artificial neural networks process information in a distributed.highly parallel fashion, and they perform as well as humans in many pattern recognitiontasks. It is theorized that a neural network might enhance the operation of an opticalconelator by providing an effective means of automatically identifying auto-correlation.-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46303.pdf
Title and statement of responsibility and : USING NEURAL NETWORKS TO ENHANCE THE OPERATION OF OPTICAL COWLATORS IN IMAGE RECOGNITION APPLICATIONS [Thesis]
 
 
 
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