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Añadir al carritoHardcover. Condición: Brand New. 126 pages. 9.25x6.10x0.60 inches. In Stock.
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Añadir al carritoTaschenbuch. Condición: Neu. Decision Support for Product Development | Using Computational Intelligence for Information Acquisition in Enterprise Databases | Marcin Relich | Taschenbuch | Computational Intelligence Methods and Applications | xii | Englisch | 2021 | Springer | EAN 9783030438999 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Idioma: Inglés
Publicado por Springer-Nature New York Inc, 2021
ISBN 10: 3030438996 ISBN 13: 9783030438999
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Publicado por Springer International Publishing, 2021
ISBN 10: 3030438996 ISBN 13: 9783030438999
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new product development. These approaches, including artificial neural networks and constraint satisfaction solutions, enable a more precise prediction of product development performance compared to widely used multiple regression models. They support decision-makers by providing more reliable information regarding, for example, project portfolio selection and project scheduling.The book is appropriate for computer scientists, management scientists, students and practitioners engaged with product innovation and computational intelligence applications.
Idioma: Inglés
Publicado por Springer International Publishing, 2020
ISBN 10: 3030438961 ISBN 13: 9783030438968
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new product development. These approaches, including artificial neural networks and constraint satisfaction solutions, enable a more precise prediction of product development performance compared to widely used multiple regression models. They support decision-makers by providing more reliable information regarding, for example, project portfolio selection and project scheduling.The book is appropriate for computer scientists, management scientists, students and practitioners engaged with product innovation and computational intelligence applications.
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Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer International Publishing Nov 2020, 2020
ISBN 10: 3030438961 ISBN 13: 9783030438968
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new product development. These approaches, including artificial neural networks and constraint satisfaction solutions, enable a more precise prediction of product development performance compared to widely used multiple regression models. They support decision-makers by providing more reliable information regarding, for example, project portfolio selection and project scheduling.The book is appropriate for computer scientists, management scientists, students and practitioners engaged with product innovation and computational intelligence applications. 128 pp. Englisch.
Idioma: Inglés
Publicado por Springer International Publishing Nov 2021, 2021
ISBN 10: 3030438996 ISBN 13: 9783030438999
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 106,99
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new product development. These approaches, including artificial neural networks and constraint satisfaction solutions, enable a more precise prediction of product development performance compared to widely used multiple regression models. They support decision-makers by providing more reliable information regarding, for example, project portfolio selection and project scheduling.The book is appropriate for computer scientists, management scientists, students and practitioners engaged with product innovation and computational intelligence applications. 128 pp. Englisch.
Idioma: Inglés
Publicado por Springer, Berlin|Springer International Publishing|Springer, 2021
ISBN 10: 3030438996 ISBN 13: 9783030438999
Librería: moluna, Greven, Alemania
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new product development.This book describes how to use computational intelligence and artificial intelligence tools to .
Idioma: Inglés
Publicado por Springer International Publishing, 2020
ISBN 10: 3030438961 ISBN 13: 9783030438968
Librería: moluna, Greven, Alemania
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Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new product developmentApproaches enable precise prediction of product development performance .
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Idioma: Inglés
Publicado por Springer, Springer Nov 2021, 2021
ISBN 10: 3030438996 ISBN 13: 9783030438999
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 106,99
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new product development. These approaches, including artificial neural networks and constraint satisfaction solutions, enable a more precise prediction of product development performance compared to widely used multiple regression models. They support decision-makers by providing more reliable information regarding, for example, project portfolio selection and project scheduling.The book is appropriate for computer scientists, management scientists, students and practitioners engaged with product innovation and computational intelligence applications.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 128 pp. Englisch.
Idioma: Inglés
Publicado por Springer, Springer Nov 2020, 2020
ISBN 10: 3030438961 ISBN 13: 9783030438968
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 106,99
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Añadir al carritoBuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book describes how to use computational intelligence and artificial intelligence tools to improve the decision-making process in new product development. These approaches, including artificial neural networks and constraint satisfaction solutions, enable a more precise prediction of product development performance compared to widely used multiple regression models. They support decision-makers by providing more reliable information regarding, for example, project portfolio selection and project scheduling.The book is appropriate for computer scientists, management scientists, students and practitioners engaged with product innovation and computational intelligence applications.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 128 pp. Englisch.