AN UNSUPERVISED NEURAL NETWORK FOR THE CLUSTERING OF EXTRAGALACTIC OBJECTSPOMPES PAR TRANSITIONS MULTIPLES

منو

" AN UNSUPERVISED NEURAL NETWORK FOR THE CLUSTERING OF EXTRAGALACTIC OBJECTSPOMPES PAR TRANSITIONS MULTIPLES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	152746
Doc. No	:	ET24538
Main Entry	:	SABINE MCCONEL
Title Proper	:	AN UNSUPERVISED NEURAL NETWORK FOR THE CLUSTERING OF EXTRAGALACTIC OBJECTSPOMPES PAR TRANSITIONS MULTIPLES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	\\re propose a variant of an artificial neural network capable of dealing with miss-ing values in incomplete data sets. This thesis is concerned with an application inastrophysics. specifically the clustering of extragalactic objects. or galaxies. wherethe task at hand involws missing data as most real life problcms do. The propusedt~nstiptm-iwti neural nct~vork can readily be applicd to any numerical continuouslyvalued dataset..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL48745.pdf
Title and statement of responsibility and	:	AN UNSUPERVISED NEURAL NETWORK FOR THE CLUSTERING OF EXTRAGALACTIC OBJECTSPOMPES PAR TRANSITIONS MULTIPLES [Thesis]