9783540602071 - Neural Networks: An Introduction (Physics of Neural Networks) von Müller, Berndt (6 Ergebnisse)

Broschiert. Zustand: Gut. 329 Seiten Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 565.

Softcover. 2. updated and corr. ed. XV, 329 S. Ex-library with stamp and library-signature. GOOD condition, some traces of use. C-02791 9783540602071 Sprache: Englisch Gewicht in Gramm: 1050.

Zustand: New. In.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the neural structure of the brain and the history of neural-network modeling introduces to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers subjects like statistical physics of spin glasses, the mean-field theory of the Hopfield model, and the 'space of interactions' approach to the storage capacity of neural networks. - The final part discusses nine programs with practical demonstrations of neural-network models. The software and source code in C are on a 3 1/2' MS-DOS diskette can be run with Microsoft, Borland, Turbo-C, or compatible compilers.

Taschenbuch. Zustand: Neu. Neural Networks | An Introduction | Berndt Müller (u. a.) | Taschenbuch | xv | Englisch | 1995 | Springer-Verlag GmbH | EAN 9783540602071 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Zustand: Gut. Zustand: Gut | Seiten: 348 | Sprache: Englisch | Produktart: Bücher | Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the neural structure of the brain and the history of neural-network modeling introduces to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications. - The second part covers subjects like statistical physics of spin glasses, the mean-field theory of the Hopfield model, and the "space of interactions" approach to the storage capacity of neural networks. - The final part discusses nine programs with practical demonstrations of neural-network models. The software and source code in C are on a 3 1/2" MS-DOS diskette can be run with Microsoft, Borland, Turbo-C, or compatible compilers.