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Principles of artificial neural networks [[electronic resource] /] / Daniel Graupe



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Autore: Graupe Daniel Visualizza persona
Titolo: Principles of artificial neural networks [[electronic resource] /] / Daniel Graupe Visualizza cluster
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)
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  Visualizza cluster
ISBN: 1-281-12170-3
9786611121709
981-277-057-7
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910784070603321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Advanced series on circuits and systems ; ; v. 6.