Neural Network Models: Theory and Projects, 2nd Edition

Wilde, Philippe de

ISBN 10: 3540761292 / ISBN 13: 9783540761297

Verlag: Springer, 1997

Beschreibung

*FREE DOMESTIC SHIPPING until Monday, Aug. 4* 2nd edition, 174 pp., paperback, a few page corners bent else text clean & binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Bestandsnummer des Verkäufers ZB1315759

Bibliografische Details

• Titel: Neural Network Models: Theory and Projects, 2nd Edition
• Verlag: Springer
• Erscheinungsjahr: 1997
• Sprache: Englisch
• ISBN-10: 3540761292
• ISBN-13: 9783540761297
• Einband: Softcover
• Auflage: 2. Auflage
• Zustand: Very Good

Über diesen Titel

Inhaltsangabe

Providing an in-depth treatment of neural network models, this volume explains and proves the main results in a clear and accessible way. It presents the essential principles of nonlinear dynamics as derived from neurobiology, and investigates the stability, convergence behaviour and capacity of networks.

Von der hinteren Coverseite

Providing an in-depth treatment of neural network models, this volume explains and proves the main results in a clear and accessible way. Topics covered include key concepts in neural networks, backpropagation, neurons in models of the brain, synchronous and discrete networks, differential mathematics, linear capacity, capacity from a signal to noise ratio, and neural networks and Markov chains. Each chapter ends with a suggested project designed to help the reader develop an integrated knowledge of the theory, placing it within a practical application domain. Neural Network Models: Theory and Projects concentrates on the essential parameters and results that will enable the reader to design hardware or software implementations of neural networks and to assess critically existing commercial products. It is suitable for final year, postgraduate and doctoral students in engineering, computing, applied mathematics, physics and biomedical systems, and will also be of interest to those working in science and industry who wish to obtain a firm grounding in the subject.