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Machine Learning Applied to Composite Materials

Jezik EngleskiEngleski
Knjiga Tvrdi uvez
Knjiga Machine Learning Applied to Composite Materials Vinod Kushvaha
Libristo kod: 39512708
Nakladnici Springer, Berlin, studeni 2021
This book introduces the approach of Machine Learning (ML) based predictive models in the design of... Cijeli opis
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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 material composite modelling and design.

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Informacije o knjizi

Puni naziv Machine Learning Applied to Composite Materials
Autor Vinod Kushvaha, Sanjay M.R, Priyanka Madhushri, Ing. habil. Suchart Siengchin
Jezik Engleski
Uvez Knjiga - Tvrdi uvez
Datum izdanja 2022
Broj stranica 204
EAN 9789811962776
Libristo kod 39512708
Nakladnici Springer, Berlin
Težina 467
Dimenzije 155 x 235 x 17

Kategorija

Technology, Engineering, Agriculture > Mechanical engineering & materials > Materials science > Engineering applications of polymers & composites
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