Doprava zdarma při nákupu nad 1 499 Kč přes Zásilkovnu nebo PPL Box.

Zjistit stav objednávky

Staňte se součástí komunity milovníků knih z celého světa a získejte hromadu výhod. Založit účet zdarma

Doprava zdarma se Zásilkovnou nad 1 499 Kč

Kurýr DPD 69 Kč PPL shop 49 Kč Balíkovna 69 Kč PPL kurýr 74 Kč PPL box 39 Kč Balíkovna 49 Kč Výdejní místo DPD 49 Kč Zásilkovna 39 Kč

Kontakt

Jak nakupovat

Pomoc

Můj účet

▸ Prázdný :-(

Doprava zdarma při nákupu nad 1 499 Kč přes Zásilkovnu nebo PPL Box.

Machine Learning Applied to Composite Materials

Name: Machine Learning Applied to Composite Materials
Brand: Springer Nature B.V.
SKU: 50471312
Price: 1309 CZK
Availability: InStock
Author: Vinod Kushvaha
ISBN: 9789811962790

Vinod Kushvaha

M. R. Sanjay

Priyanka Madhushri

Jazyk

Angličtina

Kniha Brožovaná

Libristo kód: 50471312

Nakladatelství Springer Nature B.V., listopad 2022

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

Libristo kód: 50471312

131 b

1 309 Kč

Skladem u dodavatele Odesíláme za 10-18 dnů

30 dní na vrácení zboží

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.