Neurodynamics. Series on Neural Networks Vol. 1

Pasemann, F. & H. D. Doebner

ISBN 10: 9810208111 / ISBN 13: 9789810208110

Verlag: World Scientific, 1991

Beschreibung

*Price HAS BEEN REDUCED by 10% until Monday, July 21 (SALE ITEM)* 233 pp., hardcover, ex library, else text and binding clean, tight, and bright. - 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 ZB318859

Bibliografische Details

• Titel: Neurodynamics. Series on Neural Networks Vol. 1
• Verlag: World Scientific
• Erscheinungsjahr: 1991
• ISBN-10: 9810208111
• ISBN-13: 9789810208110
• Zustand: Good

Über diesen Titel

Inhaltsangabe

This volume presents applications of mathematical techniques for modelling and performance analysis of neural networks. The collection of articles is motivated by the observation that the theory of neural network dynamics, i.e. Neurodynamics, still has to be given a thorough mathematical foundation. Therefore, the volume comprises research work on different mathematical approaches to neural networks; analytical and numerical techniques of dynamical systems theory, geometrical techniques, and methods of statistical physics. Articles analyse dynamics of neural netwroks in general or concentrate on specific network models of biological or neurocomputing origin. A few of the articles serve as a good introduction to these subjects.

Reseña del editor

This volume presents applications of mathematical techniques for modelling and performance analysis of neural networks. The collection of articles is motivated by the observation that the theory of neural network dynamics, ie neurodynamics, still has to be given a thorough mathematical foundation. Therefore, the volume comprises research work on different mathematical approaches to neural networks; analytical and numerical techniques of dynamical systems theory, geometrical techniques, and methods of statistical physics. Articles analyze dynamics of neural networks in general or concentrate on specific network models of biological or neurocomputing origin. A few of the articles serve as a good introduction to these subjects.