Feed-forward neural networks applied to the estimation of magnetic field distributions.POMPES PAR TRANSITIONS MULTIPLES

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" Feed-forward neural networks applied to the estimation of magnetic field distributions.POMPES PAR TRANSITIONS MULTIPLES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	154112
Doc. No	:	ET25904
Main Entry	:	Andre Auclair
Title Proper	:	Feed-forward neural networks applied to the estimation of magnetic field distributions.POMPES PAR TRANSITIONS MULTIPLES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	The Finite Element and Finite Difference methods are both widely used in estimatingmagnetic field solutions. Both methods are based on refining an initial estimate ofta solution using an iterative process; unfortunately, this rarely contains knowledge ofthe most likely correct solution, which has the potential of reducing the iteration time..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL50176.pdf
Title and statement of responsibility and	:	Feed-forward neural networks applied to the estimation of magnetic field distributions.POMPES PAR TRANSITIONS MULTIPLES [Thesis]