A Theory of Learning and Generalization : With Applications to Neural Networks and Control Systems

Vidyasagar, Mathukumalli

ISBN 10: 3540761209 / ISBN 13: 9783540761204

Verlag: Springer-Verlag GmbH & Co. KG, 1997

Beschreibung

Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

Bestandsnummer des Verkäufers 18747/202

Bibliografische Details

• Titel: A Theory of Learning and Generalization : With Applications to Neural Networks and Control Systems
• Verlag: Springer-Verlag GmbH & Co. KG
• Erscheinungsjahr: 1997
• Sprache: Englisch
• ISBN-10: 3540761209
• ISBN-13: 9783540761204
• Einband: Hardcover
• Zustand: Sehr gut

Über diesen Titel

Inhaltsangabe

Provides a formal mathematical theory for addressing intuitive questions of the type: How does a machine learn a new concept on the basis of examples? How can a neural network, after sufficient training, correctly predict the output of a previously unseen input? How much training is required to achieve a specified level of accuracy in the prediction? How can one "identify" the dynamical behaviour of a nonlinear control system by observing its input-output behaviour over a finite interval of time? This text treats the problem of machine learning in conjunction with the theory of empirical processes, the latter being a well-established branch of probability theory. The treatment of both topics side by side leads to new insights, as well as new results in both topics.