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Machine Learning Applied to Composite Materials

Name: Machine Learning Applied to Composite Materials
Brand: Springer, Berlin
SKU: 39512708
Price: 75570 HUF
Availability: InStock
Author: Vinod Kushvaha
ISBN: 9789811962776

Vinod Kushvaha

Sanjay M.R

Priyanka Madhushri

Ing. habil. Suchart Siengchin

Language

English

Book Hardback

Libristo code: 39512708

Publishers Springer, Berlin, November 2021

This book introduces the approach of Machine Learning (ML) based predictive models in the design of... Full description

Libristo code: 39512708

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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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About the book

Full name Machine Learning Applied to Composite Materials

Author Vinod Kushvaha, Sanjay M.R, Priyanka Madhushri, Ing. habil. Suchart Siengchin

Language

English

Binding Book - Hardback

Date of issue 2022

Number of pages 204

EAN 9789811962776

Libristo code 39512708

Publishers Springer, Berlin

Weight 467

Dimensions 155 x 235 x 17

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