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Viac informácií o knihe Machine Learning Applied to Composite Materials

• Parametre knihy
• Anotácia kniha
• Obľúbené z iného súdka

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Anotácia knihy

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.

Parametre knihy

• Celý názov: Machine Learning Applied to Composite Materials
• Autor: Vinod Kushvaha, M. R. Sanjay, Priyanka Madhushri, Suchart Siengchin
• Jazyk: Angličtina
• Väzba: Brožovaná
• Počet strán: 198
• EAN: 9789811962806
• ID: 44429449
• Nakladateľ: Springer, Berlin
• Hmotnosť: 294 g
• Rozmery: 235 × 155 mm
• Dátum vydania: 14. December 2023

Obľúbené z iného súdka

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