Machine Learning Applied to Composite Materials

Language: English

Published by Springer, Springer Dez 2023, 2023

9811962804 / 9789811962806

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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

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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. …

Seller Inventory # 9789811962806

Title
Machine Learning Applied to Composite Materials
Author
Vinod Kushvaha
Publisher
Springer, Springer Dez 2023
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
9811962804
ISBN 13
9789811962806
Item weight
318 grams
Dimensions
235x155x12 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

5-star seller

AbeBooks seller since January 23, 2017

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