Stochastic Approximation of Artificial Neural Network-Type Learning Algorithms: A Dynamical Systems ApproachET C A L I B ~ &RIQUEMENTET C A L I B ~&RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES

منو

" Stochastic Approximation of Artificial Neural Network-Type Learning Algorithms: A Dynamical Systems ApproachET C A L I B ~ &RIQUEMENTET C A L I B ~&RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	154986
Doc. No	:	ET26778
Main Entry	:	Israel Ncube
Title Proper	:	Stochastic Approximation of Artificial Neural Network-Type Learning Algorithms: A Dynamical Systems ApproachET C A L I B ~ RIQUEMENTET C A L I B ~RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	Stochastic approsirnation is concerned with characterisation of the long term be-haviour of recursive random algorithms. For example, does the algorithm converget o a unique fixed poznt. for all initial points? This problem is well-understood. via.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL51054.pdf
Title and statement of responsibility and	:	Stochastic Approximation of Artificial Neural Network-Type Learning Algorithms: A Dynamical Systems ApproachET C A L I B ~ RIQUEMENTET C A L I B ~RIQUEMENT.POMPES PAR TRANSITIONS MULTIPLES [Thesis]