國立虎尾科技大學 |

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-語言資料,印刷品 : Monograph/item
正題名/作者:	Smart Modelling for Engineering Systems/ edited by Margarita N. Favorskaya, Alena V. Favorskaya, Igor B. Petrov, Lakhmi C. Jain.
其他題名:	Proceedings of the International Conference on Computational Methods in Continuum Mechanics (CMCM 2021), Volume 2 /
其他作者:	Jain, Lakhmi C.
面頁冊數:	XII, 308 p. 121 illus., 82 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Artificial Intelligence. -
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 SystemsProceedings of the International Conference on Computational Methods in Continuum Mechanics (CMCM 2021), Volume 2 /[electronic resource] :edited by Margarita N. Favorskaya, Alena V. Favorskaya, Igor B. Petrov, Lakhmi C. Jain. - 1st ed. 2021. - XII, 308 p. 121 illus., 82 illus. in color.online resource. - Smart Innovation, Systems and Technologies,2152190-3026 ;. - Smart Innovation, Systems and Technologies,37.

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:

646849
Artificial Intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Smart Modelling for Engineering Systems = Proceedings of the International Conference on Computational Methods in Continuum Mechanics (CMCM 2021), Volume 2 /
LDR:03403nam a22004095i 4500 001 1052575
003 DE-He213
005 20210921155420.0
007 cr nn 008mamaa
008 220103s2021 si | s |||| 0|eng d
020 $a 9789813346192 $9 978-981-33-4619-2
024 7 $a 10.1007/978-981-33-4619-2 $2 doi
035 $a 978-981-33-4619-2
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Smart Modelling for Engineering Systems $h [electronic resource] : $b Proceedings of the International Conference on Computational Methods in Continuum Mechanics (CMCM 2021), Volume 2 / $c edited by Margarita N. Favorskaya, Alena V. Favorskaya, Igor B. Petrov, Lakhmi C. Jain.
250 $a 1st ed. 2021.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a XII, 308 p. 121 illus., 82 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Smart Innovation, Systems and Technologies, $x 2190-3026 ; $v 215
505 0 $a 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.
520 $a 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.
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Classical and Continuum Physics. $3 1141497
650 2 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a Civil Engineering. $3 669250
650 1 4 $a Computational Intelligence. $3 768837
650 0 $a Artificial intelligence. $3 559380
650 0 $a Continuum physics. $3 1255031
650 0 $a Optical data processing. $3 639187
650 0 $a Civil engineering. $3 561339
650 0 $a Computational intelligence. $3 568984
700 1 $a Jain, Lakhmi C. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 671306
700 1 $a Petrov, Igor B. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1279075
700 1 $a Favorskaya, Alena V. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1279074
700 1 $a Favorskaya, Margarita N. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1063332
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789813346185
776 0 8 $i Printed edition: $z 9789813346208
776 0 8 $i Printed edition: $z 9789813346215
830 0 $a Smart Innovation, Systems and Technologies, $x 2190-3018 ; $v 37 $3 1255196
856 4 0 $u https://doi.org/10.1007/978-981-33-4619-2
912 $a ZDB-2-INR
912 $a ZDB-2-SXIT
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)
950 $a Intelligent Technologies and Robotics (R0) (SpringerNature-43728)