| Description |
xiii, 656 pages : illustrations ; 25 cm + 1 CD-ROM |
| Contents |
Ch. 1. Data Fitting with Linear Models -- Ch. 2. Pattern Recognition -- Ch. 3. Multilayer Perceptions -- Ch. 4. Designing and Training MLPs -- Ch. 5. Function Approximation with MLPs, Radial Basis Functions, and Support Vector Machines -- Ch. 6. Hebbian Learning and Principal Component Analysis -- Ch. 7. Competitive and Kohonen Networks -- Ch. 8. Principles of Digital Signal Processing -- Ch. 9. Adaptive Filters -- Ch. 10. Temporal Processing with Neural Networks -- Ch. 11. Training and using Recurrent Networks -- App. A. Elements of Linear Algebra and Pattern Recognition -- App. B. Neurosolutions Tutorial |
| Summary |
"This interactive book and CD-ROM will help you develop a better understanding of the behaviour of adaptive systems. It begins by explaining the fundamentals of adaptive linear regression and builds on these concepts to explore pattern classification, function approximation, feature extraction, and time-series modeling/prediction." "Key Features of the Text: the text and CD combine to become an interactive learning tool; emphasis is on understanding the behavior of adaptive systems rather than mathematical derivations; each key concept is followed by an interactive example; over 200 fully functional simulations of adaptive systems are included; the text and CD offer a unified view of neural networks, adaptive filters, pattern recognition and support vector machines; and hyperlinks allow instant access to keyword definitions, bibliographic references, equations, and advanced discussions of concepts."--BOOK JACKET |
| Notes |
One computer laser optical disk in pocket attached to inside front cover |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Neural networks (Computer science)
|
|
Adaptive control systems.
|
| Author |
Euliano, Neil R.
|
|
Lefebvre, W. Curt.
|
| LC no. |
99027794 |
| ISBN |
0471351679 paper |
|
0555118258 CD-ROM |
|
