EVOLVING NEURAL NET CIRCUIT MODULES TO DETECT CHARACTERS OF THE ALPHABET AND SEQUENCES OF CHARACTERS (WORDS) USING THE CELLULAR AUTOMATA MODULE-BFUlN MACHINE

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" EVOLVING NEURAL NET CIRCUIT MODULES TO DETECT CHARACTERS OF THE ALPHABET AND SEQUENCES OF CHARACTERS (WORDS) USING THE CELLULAR AUTOMATA MODULE-BFUlN MACHINE "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	151168
Doc. No	:	ET22960
Main Entry	:	Derek DeCesare
Title Proper	:	EVOLVING NEURAL NET CIRCUIT MODULES TO DETECT CHARACTERS OF THE ALPHABET AND SEQUENCES OF CHARACTERS (WORDS) USING THE CELLULAR AUTOMATA MODULE-BFUlN MACHINE
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	In this thesis, multiple modules are developed for the CAM-brain machine(CBM), partially evaluating its proficiency as a pattern recognizer. The CBM is a fieldprograrnrnable gate array (FPGA)-based device, which implements a genetic aIgorithrn(GA) to evolve a 3D cellular automata (CA)-based neural network module. The first setof modules evolved in this work for the CBM was for the recognition of a singlecharacter of the alphabet, with all 26 characters being mapped onto the CA cubic space.The next set of modules evolved for the CBM was for the recognition of a word, mappinga sequence of alphabetic characters onto the CA cubic space at different intervals of atime varying analog signal. For each...,....-...,..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	:	TL46188.pdf
Title and statement of responsibility and	:	EVOLVING NEURAL NET CIRCUIT MODULES TO DETECT CHARACTERS OF THE ALPHABET AND SEQUENCES OF CHARACTERS (WORDS) USING THE CELLULAR AUTOMATA MODULE-BFUlN MACHINE [Thesis]