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Numerical Solutions Using Cellular Neural Networks: How to Use Cellular Neural Networks to Approximate Ordinary and Partial Differential Equations? - Tapa blanda
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The presentation of the book is designed to be suitable for senior level undergraduate or beginning level graduate students in mathematics, computer science, physical science and engineering. This book helps the reader gain a fundamental introduction to using cellular neural networks to approximate some types of ordinary and partial differential equations. After overview of basic concepts of the matrix algebra, cellular neural networks, ordinary differential equations, and partial differential equations, the deeper background about the cellular neural networks are provided with a general introduction of cellular neural networks models. The basic steps for using cellular neural network models to solve some types of linear and non-linear systems of ordinary and partial differential equations are presented. Furthermore, the performance of the cellular neural networks models are illustrated by solving different types of test equations. The stability properties are discussed. A brief introduction for MATLAB and SIMULINK are presented to be the reader should be able to create and modify programs based on the algorithms in this book.
Biografía del autor
Mahmoud A. Eissa is Assistant Lecturer at Menoufia University, Egypt. Phd candidate at Harbin Institute of Technology, China. Eissa's research interest in Numerical Analysis methods, Computational Mathematics, Differential equations, Stochastic differential equations, Financial Mathematics, Cellular Neural Networks. Eissa likes to play chess.
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- EditorialLAP LAMBERT Academic Publishing
- Año de publicación2016
- ISBN 10 365997630X
- ISBN 13 9783659976308
- EncuadernaciónTapa blanda
- IdiomaInglés
- Número de páginas160
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Numerical Solutions Using Cellular Neural Networks
Publicado por
LAP LAMBERT Academic Publishing Nov 2016, 2016
ISBN 10: 365997630X
ISBN 13: 9783659976308
Nuevo
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The presentation of the book is designed to be suitable for senior level undergraduate or beginning level graduate students in mathematics, computer science, physical science and engineering. This book helps the reader gain a fundamental introduction to using cellular neural networks to approximate some types of ordinary and partial differential equations. After overview of basic concepts of the matrix algebra, cellular neural networks, ordinary differential equations, and partial differential equations, the deeper background about the cellular neural networks are provided with a general introduction of cellular neural networks models. The basic steps for using cellular neural network models to solve some types of linear and non-linear systems of ordinary and partial differential equations are presented. Furthermore, the performance of the cellular neural networks models are illustrated by solving different types of test equations. The stability properties are discussed. A brief introduction for MATLAB and SIMULINK are presented to be the reader should be able to create and modify programs based on the algorithms in this book. 160 pp. Englisch. Nº de ref. del artículo: 9783659976308
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Numerical Solutions Using Cellular Neural Networks : How to Use Cellular Neural Networks to Approximate Ordinary and Partial Differential Equations?
Publicado por
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365997630X
ISBN 13: 9783659976308
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The presentation of the book is designed to be suitable for senior level undergraduate or beginning level graduate students in mathematics, computer science, physical science and engineering. This book helps the reader gain a fundamental introduction to using cellular neural networks to approximate some types of ordinary and partial differential equations. After overview of basic concepts of the matrix algebra, cellular neural networks, ordinary differential equations, and partial differential equations, the deeper background about the cellular neural networks are provided with a general introduction of cellular neural networks models. The basic steps for using cellular neural network models to solve some types of linear and non-linear systems of ordinary and partial differential equations are presented. Furthermore, the performance of the cellular neural networks models are illustrated by solving different types of test equations. The stability properties are discussed. A brief introduction for MATLAB and SIMULINK are presented to be the reader should be able to create and modify programs based on the algorithms in this book. Nº de ref. del artículo: 9783659976308
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Numerical Solutions Using Cellular Neural Networks
Publicado por
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365997630X
ISBN 13: 9783659976308
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Eissa Mahmoud A.Mahmoud A. Eissa is Assistant Lecturer at Menoufia University, Egypt. Phd candidate at Harbin Institute of Technology, China. Eissa s research interest in Numerical Analysis methods, Computational Mathematics, Differe. Nº de ref. del artículo: 159148761
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Numerical Solutions Using Cellular Neural Networks: How to Use Cellular Neural Networks to Approximate Ordinary and Partial Differential Equations?
Publicado por
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365997630X
ISBN 13: 9783659976308
Nuevo
Paperback
Librería: Revaluation Books, Exeter, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: Brand New. 160 pages. 8.66x5.91x0.37 inches. In Stock. Nº de ref. del artículo: 365997630X
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