OPTIMISATION DES RESEAUX DE NEURONES DE GRANDE CAPACITE: ETUDE EXPERIMENTALE DE LEUR INEFFICACITE ET EXPLORATION DE SOLUTIONSPOMPES PAR TRANSITIONS MULTIPLES

منو

" OPTIMISATION DES RESEAUX DE NEURONES DE GRANDE CAPACITE: ETUDE EXPERIMENTALE DE LEUR INEFFICACITE ET EXPLORATION DE SOLUTIONSPOMPES PAR TRANSITIONS MULTIPLES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	153308
Doc. No	:	ET25100
Main Entry	:	FRANCIS PIERAUT
Title Proper	:	OPTIMISATION DES RESEAUX DE NEURONES DE GRANDE CAPACITE: ETUDE EXPERIMENTALE DE LEUR INEFFICACITE ET EXPLORATION DE SOLUTIONSPOMPES PAR TRANSITIONS MULTIPLES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	The training process of a neural network become hard and inefficient when thereis an important number of hidden units (big capacity). The study of this behavior,the identification of problematic causes and the experimental quantification of theimpact of some solutions on training time are the objectives of this master thesis..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL49317.pdf
Title and statement of responsibility and	:	OPTIMISATION DES RESEAUX DE NEURONES DE GRANDE CAPACITE: ETUDE EXPERIMENTALE DE LEUR INEFFICACITE ET EXPLORATION DE SOLUTIONSPOMPES PAR TRANSITIONS MULTIPLES [Thesis]