Condizione: New.
Lingua: Inglese
Editore: Springer International Publishing, Springer International Publishing Okt 2023, 2023
ISBN 10: 3031366433 ISBN 13: 9783031366437
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 192,59
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware -Machine learning (ML) approaches have been extensively and successfully employed in various areas, like in economics, medical predictions, face recognition, credit card fraud detection, and spam filtering. There is clearly also the potential that ML techniques developed in Engineering and the Sciences will drastically increase the possibilities of analysis and accelerate the design to analysis time. With the use of ML techniques, coupled to conventional methods like finite element and digital twin technologies, new avenues of modeling and simulation can be opened but the potential of these ML techniques needs to still be fully harvested, with the methods developed and enhanced. The objective of this book is to provide an overview of ML in Engineering and the Sciences presenting fundamental theoretical ingredients with a focus on the next generation of computer modeling in Engineering and the Sciences in which the exciting aspects of machine learning are incorporated. The book is of value to any researcher and practitioner interested in research or applications of ML in the areas of scientific modeling and computer aided engineering.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 464 pp. Englisch.
Lingua: Inglese
Editore: Springer International Publishing, 2023
ISBN 10: 3031366433 ISBN 13: 9783031366437
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 192,59
Quantità: 1 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Machine learning (ML) approaches have been extensively and successfully employed in various areas, like in economics, medical predictions, face recognition, credit card fraud detection, and spam filtering. There is clearly also the potential that ML techniques developed in Engineering and the Sciences will drastically increase the possibilities of analysis and accelerate the design to analysis time. With the use of ML techniques, coupled to conventional methods like finite element and digital twin technologies, new avenues of modeling and simulation can be opened but the potential of these ML techniques needs to still be fully harvested, with the methods developed and enhanced. The objective of this book is to provide an overview of ML in Engineering and the Sciences presenting fundamental theoretical ingredients with a focus on the next generation of computer modeling in Engineering and the Sciences in which the exciting aspects of machine learning are incorporated. The book is of value to any researcher and practitioner interested in research or applications of ML in the areas of scientific modeling and computer aided engineering.
Lingua: Inglese
Editore: Springer International Publishing, 2023
ISBN 10: 3031366433 ISBN 13: 9783031366437
Da: moluna, Greven, Germania
EUR 162,51
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Comprehensive state-of-the-art book on scientific machine learning approaches in modelling & simulationCovers the wide range of PDEs, uncertainty, optimization, inverse analysis, constitutive modelling & material designFocuses on engineerin.
Lingua: Inglese
Editore: Springer International Publishing Nov 2023, 2023
ISBN 10: 3031366433 ISBN 13: 9783031366437
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 192,59
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine learning (ML) approaches have been extensively and successfully employed in various areas, like in economics, medical predictions, face recognition, credit card fraud detection, and spam filtering. There is clearly also the potential that ML techniques developed in Engineering and the Sciences will drastically increase the possibilities of analysis and accelerate the design to analysis time. With the use of ML techniques, coupled to conventional methods like finite element and digital twin technologies, new avenues of modeling and simulation can be opened but the potential of these ML techniques needs to still be fully harvested, with the methods developed and enhanced. The objective of this book is to provide an overview of ML in Engineering and the Sciences presenting fundamental theoretical ingredients with a focus on the next generation of computer modeling in Engineering and the Sciences in which the exciting aspects of machine learning are incorporated. The book is of value to any researcher and practitioner interested in research or applications of ML in the areas of scientific modeling and computer aided engineering. 464 pp. Englisch.
Da: preigu, Osnabrück, Germania
EUR 168,50
Quantità: 5 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Machine Learning in Modeling and Simulation | Methods and Applications | Timon Rabczuk (u. a.) | Buch | ix | Englisch | 2023 | Springer | EAN 9783031366437 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Da: Majestic Books, Hounslow, Regno Unito
EUR 249,00
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 260,25
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.