| Description |
1 online resource (xxviii, 722 pages) : illustrations |
| Contents |
Foreword; Preface; Acknowledgments; 1 Neural Systems: An Introduction; 2 Biological Foundations of Neuronal Morphology; 3 Neural Units: Concepts, Models, and Learning; 4 Multilayered Feedforward Neural Networks (MFNNs) and Backpropagation Learning Algorithms; 5 Advanced Methods for Learning and Adaptation in MFNNs; 6 Radial Basis Function Neural Networks; 7 Function Approximation Using Feedforward Neural Networks; 8 Dynamic Neural Units (DNUs): Nonlinear Models and Dynamics; 9 Continuous-Time Dynamic Neural Networks; 10 Learning and Adaptation in Dynamic Neural Networks |
| Summary |
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 |
| Analysis |
Electrical and Electronics Engineering |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
|
Print version record |
| Subject |
Neural networks (Computer science)
|
|
Neural Networks, Computer
|
|
COMPUTERS -- Neural Networks.
|
|
Neural networks (Computer science)
|
| Genre/Form |
Electronic books
|
| Form |
Electronic book
|
| Author |
Jin, Liang (Electrical engineer)
|
|
Homma, Noriyasu.
|
| ISBN |
0471460923 |
|
9780471460923 |
|
0471219487 |
|
9780471219484 |
|
0471427950 |
|
9780471427957 |
|
