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[ subject:"Engineering- Data processing" ]
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Smart modelling for engineering syst...
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International Conference on Computational Methods in Continuum Mechanics ((2021:)
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Smart modelling for engineering systems = proceedings of the International Conference on Computational Methods in Continuum Mechanics (CMCM 2021).. Volume 2 /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Smart modelling for engineering systems/ edited by Margarita N. Favorskaya ... [et al.].
其他題名:
proceedings of the International Conference on Computational Methods in Continuum Mechanics (CMCM 2021).
其他題名:
CMCM 2021
其他作者:
Favorskaya, Margarita N.
團體作者:
International Conference on Computational Methods in Continuum Mechanics
出版者:
Singapore :Springer Singapore : : 2021.,
面頁冊數:
xii, 308 p. :ill. (some col.), digital ;24 cm.
內容註:
Recent Advances in Numerical Methods, Machine Learning, and Computer Science -- Correction of Boundary Conditions in Micromodels by Molecular Dynamic Method -- Development and Application of the SMIF Method for the Investigation of Incompressible Fluid Flows -- On 32nd-Order Multioperators-Based Schemes for Fluid Dynamics -- Hermitian Grid-Characteristic Scheme for Linear Transport Equation and Its Dissipative-Dispersion Properties.
Contained By:
Springer Nature eBook
標題:
Continuum mechanics - Congresses. - Data processing -
電子資源:
https://doi.org/10.1007/978-981-33-4619-2
ISBN:
9789813346192
Smart modelling for engineering systems = proceedings of the International Conference on Computational Methods in Continuum Mechanics (CMCM 2021).. Volume 2 /
Smart modelling for engineering systems
proceedings of the International Conference on Computational Methods in Continuum Mechanics (CMCM 2021).Volume 2 /[electronic resource] :CMCM 2021edited by Margarita N. Favorskaya ... [et al.]. - Singapore :Springer Singapore :2021. - xii, 308 p. :ill. (some col.), digital ;24 cm. - Smart innovation, systems and technologies,v.2152190-3018 ;. - Smart innovation, systems and technologies ;v.215..
Recent Advances in Numerical Methods, Machine Learning, and Computer Science -- Correction of Boundary Conditions in Micromodels by Molecular Dynamic Method -- Development and Application of the SMIF Method for the Investigation of Incompressible Fluid Flows -- On 32nd-Order Multioperators-Based Schemes for Fluid Dynamics -- Hermitian Grid-Characteristic Scheme for Linear Transport Equation and Its Dissipative-Dispersion Properties.
This book is a collection of research papers selected for presentation at the International Conference on Smart Computational Methods in Continuum Mechanics 2021, organized by Moscow Institute of Physics and Technology and the Institute for Computer Aided Design of Russian Academy of Sciences. The work is presented in two volumes. The primary objective of the book is to report the state-of-the-art on smart computational paradigms in continuum mechanics and explore the use of artificial intelligence paradigms such as neural nets and machine learning for improving the performance of the designed engineering systems. The book includes up-to-date smart computational methods which are used to solve problems in continuum mechanics, engineering, seismic prospecting, non-destructive testing, and so on. The main features of the book are the research papers on the application of novel smart methods including neural nets and machine learning, computational algorithms, smart software systems, and high-performance computer systems for solving complex engineering problems. The case studies pertaining to the real-world applications in the above fields are included. The book presents a collection of best research papers in English language from some of the world leaders in the field of smart system modelling and design of engineering systems.
ISBN: 9789813346192
Standard No.: 10.1007/978-981-33-4619-2doiSubjects--Topical Terms:
3489964
Continuum mechanics
--Data processing--Congresses.
LC Class. No.: QA808.2
Dewey Class. No.: 531
Smart modelling for engineering systems = proceedings of the International Conference on Computational Methods in Continuum Mechanics (CMCM 2021).. Volume 2 /
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