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Autore: | Graupe Daniel |
Titolo: | Principles of artificial neural networks [[electronic resource] /] / Daniel Graupe |
Pubblicazione: | Singapore ; ; Hackensack, N.J., : World Scientific, c2007 |
Edizione: | 2nd ed. |
Descrizione fisica: | 1 online resource (320 p.) |
Disciplina: | 006.3/2 |
Soggetto topico: | Neural networks (Computer science) |
Soggetto genere / forma: | Electronic books. |
Note generali: | Description based upon print version of record. |
Nota di bibliografia: | Includes bibliographical references (p. 291-297) and indexes. |
Nota di contenuto: | Acknowledgments; Preface to the First Edition; Preface to the Second Edition; Contents; Chapter 1. Introduction and Role of Artificial Neural Networks; Chapter 2. Fundamentals of Biological Neural Networks; Chapter 3. Basic Principles of ANNs and Their Early Structures; Chapter 4. The Perceptron; Chapter 5. The Madaline; Chapter 6. Back Propagation; Chapter 7. Hopeld Networks; Chapter 8. Counter Propagation; Chapter 9. Adaptive Resonance Theory; Chapter 10. The Cognitron and the Neocognitron; Chapter 11. Statistical Training; Chapter 12. Recurrent (Time Cycling) Back Propagation Networks |
Chapter 13. Large Scale Memory Storage and Retrieval (LAMSTAR) Network Problems; References; Author Index; Subject Index | |
Sommario/riassunto: | The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural network approaches and architectures with the theories, this text presents detailed case studies for each of the approaches, accompanied with complete computer codes and the corresponding computed results. The case studies are designed to allow easy comparison of network performance to illustrate strength |
Titolo autorizzato: | Principles of artificial neural networks |
ISBN: | 1-281-12170-3 |
9786611121709 | |
981-277-057-7 | |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910450698103321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |