EVOLVING NEURAL NET CIRCUIT MODULES TO DETECT STATIC AND DYNAMIC TWO-DIMESIONAL PATTERNS USING THE CAM BRAIN MACHINE (CBM)

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" EVOLVING NEURAL NET CIRCUIT MODULES TO DETECT STATIC AND DYNAMIC TWO-DIMESIONAL PATTERNS USING THE CAM BRAIN MACHINE (CBM) "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	151290
Doc. No	:	ET23082
Main Entry	:	Padma Kiran Guttikonda
Title Proper	:	EVOLVING NEURAL NET CIRCUIT MODULES TO DETECT STATIC AND DYNAMIC TWO-DIMESIONAL PATTERNS USING THE CAM BRAIN MACHINE (CBM)
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	This thesis explains the development of neural net modules to detect static anddynamic two-dimensional (2D) pattems using the CAM Brain Machine (CBM).The CBM is a field programmable gate array-based device. It is a collection of upto 65000 modules. Each of these modules has a neural network, grown in cellularautomata cubic space and a genetic algorithm controls the growth of the network. Thisthesis developed modules that can be used in the visual part of an artificial brain. It isdivided into two parts. In the first part, CBM modules to detect static patterns were.-....,....-...,..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	:	TL46316.pdf
Title and statement of responsibility and	:	EVOLVING NEURAL NET CIRCUIT MODULES TO DETECT STATIC AND DYNAMIC TWO-DIMESIONAL PATTERNS USING THE CAM BRAIN MACHINE (CBM) [Thesis]