Provides comprehensive treatment of the theory of both static and dynamic neural networks.* Theoretical concepts are illustrated by reference to practical examples Includes end-of-chapter exercises and end-of-chapter exercises.
Static and Dynamic Neural Networks (From Fundamentals to Advanced Theory) || Neural Systems: An Introduction
โ Scribed by Gupta, Madan M.; Jin, Liang; Homma, Noriyasu
- Book ID
- 124055580
- Publisher
- John Wiley & Sons, Inc.
- Year
- 2005
- Tongue
- English
- Weight
- 1024 KB
- Edition
- 1
- Category
- Article
- ISBN
- 0471219487
No coin nor oath required. For personal study only.
โฆ Synopsis
Provides comprehensive treatment of the theory of both static and dynamic neural networks.
* Theoretical concepts are illustrated by reference to practical examples Includes end-of-chapter exercises and end-of-chapter exercises.
*An Instructor Support FTP site is available from the Wiley editorial department.
๐ SIMILAR VOLUMES
Provides comprehensive treatment of the theory of both static and dynamic neural networks. \* Theoretical concepts are illustrated by reference to practical examples Includes end-of-chapter exercises and end-of-chapter exercises. \*An Instructor Support FTP site is available from the Wiley edito
Provides comprehensive treatment of the theory of both static and dynamic neural networks. \* Theoretical concepts are illustrated by reference to practical examples Includes end-of-chapter exercises and end-of-chapter exercises. \*An Instructor Support FTP site is available from the Wiley edito
Provides comprehensive treatment of the theory of both static and dynamic neural networks. \* Theoretical concepts are illustrated by reference to practical examples Includes end-of-chapter exercises and end-of-chapter exercises. \*An Instructor Support FTP site is available from the Wiley edito
Provides comprehensive treatment of the theory of both static and dynamic neural networks. \* Theoretical concepts are illustrated by reference to practical examples Includes end-of-chapter exercises and end-of-chapter exercises. \*An Instructor Support FTP site is available from the Wiley edito
This book presents carefully revised versions of tutorial lectures given during a School on Artificial Neural Networks for the industrial world held at the University of Limburg in Maastricht, Belgium. The major ANN architectures are discussed to show their powerful possibilities for empirical dat