Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 54,33
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
EUR 50,58
Cantidad disponible: 10 disponibles
Añadir al carritoPF. Condición: New.
EUR 79,90
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 206 pages. 9.21x6.14x0.43 inches. In Stock.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 188,30
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 188,30
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 243,94
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
EUR 184,85
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Machine Learning Applied to Composite Materials | Vinod Kushvaha (u. a.) | Taschenbuch | Composites Science and Technology | vi | Englisch | 2023 | Springer | EAN 9789811962806 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 260,74
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
EUR 251,90
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 270,55
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 270,98
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 272,23
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New.
EUR 221,53
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications. ML can learn from existing experimental data obtained from very limited number of experiments and subsequently can be trained to find solutions of the complex non-linear, multi-dimensional functional relationships without any prior assumptions about their nature. In this case the ML models can learn from existing experimental data obtained from (1) composite design based on various properties of the matrix material and fillers/reinforcements (2) material processing during fabrication (3) property relationships. Modelling of these relationships using ML methods significantly reduce the experimental work involved in designing new composites, and therefore offer a new avenue for material design and properties. The book caters to students, academics and researchers who are interested in the field of materialcomposite modelling and design.
EUR 223,11
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications. ML can learn from existing experimental data obtained from very limited number of experiments and subsequently can be trained to find solutions of the complex non-linear, multi-dimensional functional relationships without any prior assumptions about their nature. In this case the ML models can learn from existing experimental data obtained from (1) composite design based on various properties of the matrix material and fillers/reinforcements (2) material processing during fabrication (3) property relationships. Modelling of these relationships using ML methods significantly reduce the experimental work involved in designing new composites, and therefore offer a new avenue for material design and properties. The book caters to students, academics and researchers who are interested in the field of materialcomposite modelling and design.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 296,72
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.
EUR 297,02
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 204 pages. 9.25x6.10x0.46 inches. In Stock.
EUR 299,00
Cantidad disponible: 2 disponibles
Añadir al carritoHardcover. Condición: Brand New. 204 pages. 9.25x6.10x0.71 inches. In Stock.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 297,22
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 300,21
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. In.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 313,76
Cantidad disponible: 15 disponibles
Añadir al carritoCondición: New.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 333,04
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 331,88
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 166,29
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: new. Questo è un articolo print on demand.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 166,29
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer Nature Singapore Dez 2023, 2023
ISBN 10: 9811962804 ISBN 13: 9789811962806
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 192,59
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications. ML can learn from existing experimental data obtained from very limited number of experiments and subsequently can be trained to find solutions of the complex non-linear, multi-dimensional functional relationships without any prior assumptions about their nature. In this case the ML models can learn from existing experimental data obtained from (1) composite design based on various properties of the matrix material and fillers/reinforcements (2) material processing during fabrication (3) property relationships. Modelling of these relationships using ML methods significantly reduce the experimental work involved in designing new composites, and therefore offer a new avenue for material design and properties. The book caters to students, academics and researchers who are interested in the field of materialcomposite modelling and design. 204 pp. Englisch.
Idioma: Inglés
Publicado por Springer, Berlin|Springer Nature Singapore|Springer, 2023
ISBN 10: 9811962804 ISBN 13: 9789811962806
Librería: moluna, Greven, Alemania
EUR 180,07
Cantidad disponible: Más de 20 disponibles
Añadir al carritoKartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications. ML can learn from existing experimental data obtained from very limited n.
Idioma: Inglés
Publicado por Springer, Berlin|Springer Nature Singapore|Springer, 2022
ISBN 10: 9811962774 ISBN 13: 9789811962776
Librería: moluna, Greven, Alemania
EUR 180,07
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications. ML can learn from existing experimental data obtained from very limited n.
Idioma: Inglés
Publicado por Springer Nature Singapore, Springer Nature Singapore Nov 2022, 2022
ISBN 10: 9811962774 ISBN 13: 9789811962776
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 213,99
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications. ML can learn from existing experimental data obtained from very limited number of experiments and subsequently can be trained to find solutions of the complex non-linear, multi-dimensional functional relationships without any prior assumptions about their nature. In this case the ML models can learn from existing experimental data obtained from (1) composite design based on various properties of the matrix material and fillers/reinforcements (2) material processing during fabrication (3) property relationships. Modelling of these relationships using ML methods significantly reduce the experimental work involved in designing new composites, and therefore offer a new avenue for material design and properties. The book caters to students, academics and researchers who are interested in the field of materialcomposite modelling and design. 204 pp. Englisch.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 248,32
Cantidad disponible: 2 disponibles
Añadir al carritoPaperback. Condición: Brand New. 600 pages. 9.00x6.00x1.09 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Springer, Springer Dez 2023, 2023
ISBN 10: 9811962804 ISBN 13: 9789811962806
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 213,99
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book introduces the approach of Machine Learning (ML) based predictive models in the design of composite materials to achieve the required properties for certain applications. ML can learn from existing experimental data obtained from very limited number of experiments and subsequently can be trained to find solutions of the complex non-linear, multi-dimensional functional relationships without any prior assumptions about their nature. In this case the ML models can learn from existing experimental data obtained from (1) composite design based on various properties of the matrix material and fillers/reinforcements (2) material processing during fabrication (3) property relationships. Modelling of these relationships using ML methods significantly reduce the experimental work involved in designing new composites, and therefore offer a new avenue for material design and properties. The book caters to students, academics and researchers who are interested in the field of materialcomposite modelling and design.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 204 pp. Englisch.