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Numerical Solutions Using Cellular Neural Networks: How to Use Cellular Neural Networks to Approximate Ordinary and Partial Differential Equations? - Softcover
Synopsis
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.
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About the Author
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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Numerical Solutions Using Cellular Neural Networks
Published by
LAP LAMBERT Academic Publishing Nov 2016, 2016
ISBN 10: 365997630X
ISBN 13: 9783659976308
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783659976308
Quantity: 2 available
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Numerical Solutions Using Cellular Neural Networks
Published by
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365997630X
ISBN 13: 9783659976308
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Softcover
Seller: moluna, Greven, Germany
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Condition: 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. Seller Inventory # 159148761
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Numerical Solutions Using Cellular Neural Networks: How to Use Cellular Neural Networks to Approximate Ordinary and Partial Differential Equations?
Published by
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365997630X
ISBN 13: 9783659976308
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
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Paperback. Condition: Brand New. 160 pages. 8.66x5.91x0.37 inches. In Stock. Seller Inventory # 365997630X
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Numerical Solutions Using Cellular Neural Networks
Published by
LAP LAMBERT Academic Publishing Nov 2016, 2016
ISBN 10: 365997630X
ISBN 13: 9783659976308
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. 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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 160 pp. Englisch. Seller Inventory # 9783659976308
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Numerical Solutions Using Cellular Neural Networks : How to Use Cellular Neural Networks to Approximate Ordinary and Partial Differential Equations?
Published by
LAP LAMBERT Academic Publishing, 2016
ISBN 10: 365997630X
ISBN 13: 9783659976308
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: 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. Seller Inventory # 9783659976308
Quantity: 1 available