Design Fast Feed Forward Neural Networks To Solve SBVP - Couverture souple

Thirthar Hussein, Ashraf Adnan; N.M. Tawfiq, Luma

 
9783659168444: Design Fast Feed Forward Neural Networks To Solve SBVP
Couverture souple
ISBN 10 : 3659168440 ISBN 13 : 9783659168444
Editeur : LAP LAMBERT Academic Publishing, 2014

Synopsis

The aim of this book is to design fast feed forward neural networks to present a method to solve singular boundary value problems for ordinary differential equations.The suggested networks use the principle of Back propagation with different training algorithms such as Levenberg–Marquardt, quasi-Newton and Bayesian regularization, update procedure then speeding suggested networks by modification these training algorithms.The Main objective of this book is to find the best training algorithm to solve singular boundary value problems. Other aim of this book, is to study the mathematical models for the equations describe the temperature variation of a spherical gas cloud under the mutual attraction of its molecules and subject to the laws of classical thermodynamics. These equations are one of the basic equations in the theory of stellar structure and have been the focus of many studies, so use the suggested networks to solve this equations. Finally, we illustrate the suggested network by solving a variety of model problems and present comparisons with solutions obtained using other different methods to show speed, accuracy and effectiveness of using the networks technique.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The aim of this book is to design fast feed forward neural networks to present a method to solve singular boundary value problems for ordinary differential equations.The suggested networks use the principle of Back propagation with different training algorithms such as Levenberg–Marquardt, quasi-Newton and Bayesian regularization, update procedure then speeding suggested networks by modification these training algorithms.The Main objective of this book is to find the best training algorithm to solve singular boundary value problems. Other aim of this book, is to study the mathematical models for the equations describe the temperature variation of a spherical gas cloud under the mutual attraction of its molecules and subject to the laws of classical thermodynamics. These equations are one of the basic equations in the theory of stellar structure and have been the focus of many studies, so use the suggested networks to solve this equations. Finally, we illustrate the suggested network by solving a variety of model problems and present comparisons with solutions obtained using other different methods to show speed, accuracy and effectiveness of using the networks technique.

Biographie de l'auteur

Ashraf Adnan Thirthar al.qaisy I was born 14/09/1988 earned a bachelor's degree In mathematics from the University of Anbar, the year 2009 AD and then earned a master's degree In mathematics from the University of Baghdad in 2014 AD .I have a number of published papers in international journals and I participate in an international conference.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2014
Langue
anglais
ISBN 10 
3659168440
ISBN 13 
9783659168444
Reliure
Broché
Nombre de pages
212
Coordonnées du fabricant
non disponible
Personne responsable
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