Librería: Phatpocket Limited, Waltham Abbey, HERTS, Reino Unido
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Añadir al carritoCondición: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Librería: Ammareal, Morangis, Francia
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Añadir al carritoSoftcover. Condición: Bon. Ancien livre de bibliothèque avec équipements. Edition 2008. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Edition 2008. Ammareal gives back up to 15% of this item's net price to charity organizations.
Librería: Emile Kerssemakers ILAB, Heerlen, Holanda
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Añadir al carrito23 cm. original paperback. 196 pp. references. index. "Lecture Notes in Artificial Intelligence". -(libr labels, library stamp, otherwise (very) good). 335g.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
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Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: Books Puddle, New York, NY, Estados Unidos de America
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Añadir al carritoCondición: New. pp. 216.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 80,24
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems.This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining.
Librería: preigu, Osnabrück, Alemania
EUR 73,00
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Añadir al carritoTaschenbuch. Condición: Neu. Agent-Based Hybrid Intelligent Systems | An Agent-Based Framework for Complex Problem Solving | Zili Zhang (u. a.) | Taschenbuch | xv | Englisch | 2004 | Springer | EAN 9783540209089 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Mispah books, Redhill, SURRE, Reino Unido
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Añadir al carritoPaperback. Condición: Like New. Like New. book.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Idioma: Inglés
Publicado por Springer Berlin Heidelberg Jan 2004, 2004
ISBN 10: 3540209085 ISBN 13: 9783540209089
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 80,24
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems.This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining. 216 pp. Englisch.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 112,73
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Añadir al carritoCondición: New. Print on Demand pp. 216 Illus.
Idioma: Inglés
Publicado por Springer Berlin Heidelberg, 2004
ISBN 10: 3540209085 ISBN 13: 9783540209089
Librería: moluna, Greven, Alemania
EUR 70,33
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of inte.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 113,10
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 216.
Idioma: Inglés
Publicado por Springer, Springer Jan 2004, 2004
ISBN 10: 3540209085 ISBN 13: 9783540209089
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 80,24
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Solving complex problems in real-world contexts, such as financial investment planning or mining large data collections, involves many different sub-tasks, each of which requires different techniques. To deal with such problems, a great diversity of intelligent techniques are available, including traditional techniques like expert systems approaches and soft computing techniques like fuzzy logic, neural networks, or genetic algorithms. These techniques are complementary approaches to intelligent information processing rather than competing ones, and thus better results in problem solving are achieved when these techniques are combined in hybrid intelligent systems. Multi-Agent Systems are ideally suited to model the manifold interactions among the many different components of hybrid intelligent systems.This book introduces agent-based hybrid intelligent systems and presents a framework and methodology allowing for the development of such systems for real-world applications. The authors focus on applications in financial investment planning and data mining.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 216 pp. Englisch.