E-Book, Englisch, 436 Seiten
Fiesler / Beale Handbook of Neural Computation
1. Auflage 2010
ISBN: 978-1-4200-5064-6
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
E-Book, Englisch, 436 Seiten
ISBN: 978-1-4200-5064-6
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
The Handbook of Neural Computation is a practical, hands-on guide to the design and implementation of neural networks used by scientists and engineers to tackle difficult and/or time-consuming problems.
The handbook bridges an information pathway between scientists and engineers in different disciplines who apply neural networks to similar problems. It is unmatched in the breadth of its coverage and is certain to become the standard reference resource for the neural network community.
Zielgruppe
Anyone with a basic understanding of neural computation, experience with neural networks in particular applications, or true ground-breaking experts who need a ready source of reference
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Foreword by James A Anderson. Part A: Introduction. Part B: Fundamental concepts of neural computation. Part C: Neural network models. Part D: Hybrid models. Part E: Neural network implementations. Part F: Neural network applications. Part G: Neural networks in practice. Part H: Directions for future research. Part X: Appendices.