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Titlebook: Smart Modelling For Engineering Systems; Proceedings of the I Margarita N. Favorskaya,Alena V. Favorskaya,Lakhmi Conference proceedings 202

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書目名稱Smart Modelling For Engineering Systems
副標(biāo)題Proceedings of the I
編輯Margarita N. Favorskaya,Alena V. Favorskaya,Lakhmi
視頻videohttp://file.papertrans.cn/869/868900/868900.mp4
概述Presents papers presented at Smart Computational Methods in Continuum Mechanics 2021 Conference.Provides an overview of major research applications in intelligent computational methods.Offers a valuab
叢書名稱Smart Innovation, Systems and Technologies
圖書封面Titlebook: Smart Modelling For Engineering Systems; Proceedings of the I Margarita N. Favorskaya,Alena V. Favorskaya,Lakhmi Conference proceedings 202
描述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, andhigh-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
出版日期Conference proceedings 2021
關(guān)鍵詞SCMCM 2020; CMCM Proceedings; Continuum Mechanics; Smart Computational Methods; New Generation Algorithm
版次1
doihttps://doi.org/10.1007/978-981-33-4709-0
isbn_softcover978-981-33-4711-3
isbn_ebook978-981-33-4709-0Series ISSN 2190-3018 Series E-ISSN 2190-3026
issn_series 2190-3018
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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