USING NEURAL NETWORKS TO ENHANCE THE OPERATION OF OPTICAL COWLATORS IN IMAGE RECOGNITION APPLICATIONS

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" USING NEURAL NETWORKS TO ENHANCE THE OPERATION OF OPTICAL COWLATORS IN IMAGE RECOGNITION APPLICATIONS "

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]