NEURAL NETWORK APPLICATION FOR RADIONUCLIDE MODELLING AND PREDICTION OF RADIOACTIVITY LEVELS

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" NEURAL NETWORK APPLICATION FOR RADIONUCLIDE MODELLING AND PREDICTION OF RADIOACTIVITY LEVELS "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	150771
Doc. No	:	ET22563
Main Entry	:	Myron Corbett Lynch, Jr.
Title Proper	:	NEURAL NETWORK APPLICATION FOR RADIONUCLIDE MODELLING AND PREDICTION OF RADIOACTIVITY LEVELS
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Existing applications of artificial neural networks in physics research anddevelopment have been analyzed as a basis for proposing new opportunities usingthat A1 technology for data analysis in physics. A taxonomy was developed, based onan extensive literature search, for physics problems where neural networkapplications have been useful. Then, a particular use of neural networks was carriedout to study ways to predict normal concentrations of radioactivity measured atmonitoring stations in different geographic locations. The purpose of the datacollection and analysis was to establish background levels that would serve as basesfor detecting unusual levels of radioactivity,....-...,..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	:	TL45787.pdf
Title and statement of responsibility and	:	NEURAL NETWORK APPLICATION FOR RADIONUCLIDE MODELLING AND PREDICTION OF RADIOACTIVITY LEVELS [Thesis]