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Implementation techniques /
This volume covers practical and effective implementation techniques, including recurrent methods, Boltzmann machines, constructive learning with methods for the reduction of complexity in neural network systems, modular systems, associative memory, neural network design based on the concept of the...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
San Diego, Calif. :
Academic Press,
©1998.
|
| Colección: | Neural network systems, techniques and applications ;
v. 3. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Implementation techniques / |c edited by Cornelius T. Leondes. |
| 260 | |a San Diego, Calif. : |b Academic Press, |c ©1998. | ||
| 300 | |a 1 online resource (xviii, 401 pages) : |b illustrations | ||
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| 490 | 1 | |a Neural network systems, techniques and applications ; |v v. 3 | |
| 504 | |a Includes bibliographical references and index. | ||
| 588 | 0 | |a Print version record. | |
| 505 | 0 | |a Front Cover; Implementation Techniques; Copyright Page; Contents; Contributors; Preface; Chapter 1. Recurrent Neural Networks: Identification and Other System Theoretic Properties; Chapter 2. Boltzmann Machines: Statistical Associations and Algorithms for Training; Chapter 3. Constructive Learning Techniques for Designing Neural Network Systems; Chapter 4. Modular Neural Networks; Chapter 5. Associative Memories; Chapter 6. A Logical Basis for Neural Network Design; Chapter 7. Neural Networks Applied to Data Analysis; Chapter 8. Multimode Single-Neuron Arithmetics; Index. | |
| 520 | |a This volume covers practical and effective implementation techniques, including recurrent methods, Boltzmann machines, constructive learning with methods for the reduction of complexity in neural network systems, modular systems, associative memory, neural network design based on the concept of the Inductive Logic Unit, and a comprehensive treatment of implementations in the area of data classification. Numerous examples enhance the text. Practitioners, researchers, and students in engineering and computer science will find Implementation Techniques a comprehensive and powerful reference. | ||
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| 650 | 0 | |a Neural computers. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 2 | |a Neural Networks, Computer | |
| 650 | 2 | |a Artificial Intelligence | |
| 650 | 6 | |a Réseaux neuronaux (Informatique) | |
| 650 | 6 | |a Ordinateurs neuronaux. | |
| 650 | 6 | |a Intelligence artificielle. | |
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| 700 | 1 | |a Leondes, Cornelius T. | |
| 776 | 0 | 8 | |i Print version: |t Implementation techniques. |d San Diego, Calif. : Academic Press, ©1998 |z 0124438636 |z 9780124438637 |w (OCoLC)38572309 |
| 830 | 0 | |a Neural network systems, techniques and applications ; |v v. 3. | |
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