Książka Numerical Solutions Using Cellular Neural Networks Mahmoud A. Eissa

Numerical Solutions Using Cellular Neural Networks

How to Use Cellular Neural Networks to Approximate Ordinary and Partial Differential Equations?

Język: Angielski
Oprawa: Miękka
Dostępność: Na zamówienie
Wysyłamy za 17-27 dni
217.96
The presentation of the book is designed to be suitable for senior level undergraduate or beginning...

Informacje o książce

Język
Angielski
Oprawa
Książka - Miękka
Data wydania
2016
strony
160
EAN
9783659976308
ISBN
365997630X
Enbook ID
15545814
Waga
255
Wymiary
150 x 220 x 10

Pełny opis

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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