Sprache: Englisch
Verlag: World Scientific Publishing Company, 2007
ISBN 10: 9812706240 ISBN 13: 9789812706249
Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Sprache: Englisch
Verlag: World Scientific Publishing Company, Incorporated, 2007
ISBN 10: 9812706240 ISBN 13: 9789812706249
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 112,58
Anzahl: 1 verfügbar
In den WarenkorbZustand: Used. pp. xv + 303 Illus.
Sprache: Englisch
Verlag: World Scientific Publishing Company, Incorporated, 2007
ISBN 10: 9812706240 ISBN 13: 9789812706249
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: Used. pp. xv + 303.
Sprache: Englisch
Verlag: World Scientific Pub Co Inc, 2007
ISBN 10: 9812706240 ISBN 13: 9789812706249
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 134,93
Anzahl: 1 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 2nd edition. 303 pages. 9.75x6.75x0.75 inches. In Stock.
Sprache: Englisch
Verlag: World Scientific Publishing Company, 2007
ISBN 10: 9812706240 ISBN 13: 9789812706249
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 156,49
Anzahl: 2 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: WORLD SCIENTIFIC PUB CO INC, 2007
ISBN 10: 9812706240 ISBN 13: 9789812706249
Anbieter: moluna, Greven, Deutschland
Gebunden. Zustand: New. Suitable as a self-study course for engineers and computer scientists in the industry, this book covers major neural network approaches and architectures with the theories. It presents detailed case studies for each of the approaches, accompanied with compu.
Sprache: Englisch
Verlag: World Scientific Publishing Company Apr 2007, 2007
ISBN 10: 9812706240 ISBN 13: 9789812706249
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Neuware - The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural network approaches and architectures with the theories, this text presents detailed case studies for each of the approaches, accompanied with complete computer codes and the corresponding computed results. The case studies are designed to allow easy comparison of network performance to illustrate strengths and weaknesses of the different networks.