Digital Neural Networks by Sy Kung
Covering the fundamental theory and practical implementation of various neural models, this text provides a coherent exploration and a well structured presentation of the three most important aspects of the neural networks: application, algorithm and architecture. It offers working knowledge of the various neural models, the fundamental theoretical basis, the potential application domains and the basic implementation issues.
Kung, S. Y.: - S. Y. Kung is a Professor in the Department of Electrical Engineering at Princeton University. His research areas include VLSI array/parallel processors, system modeling and identification, wireless communication, statistical signal processing, multimedia processing, sensor networks, bioinformatics, data mining and machine learning.
| SKU | Unavailable |
| ISBN 13 | 9780136123262 |
| ISBN 10 | 0136123260 |
| Title | Digital Neural Networks |
| Author | S Y Kung |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Pearson Education (US) |
| Year published | 1993-04-01 |
| Number of pages | 400 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |