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Titlebook: Computational Mechanics with Neural Networks; Genki Yagawa,Atsuya Oishi Book 2021 The Editor(s) (if applicable) and The Author(s), under e

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发表于 2025-3-21 18:10:53 | 显示全部楼层 |阅读模式
书目名称Computational Mechanics with Neural Networks
编辑Genki Yagawa,Atsuya Oishi
视频video
概述Discusses neural networks and the related methods in computational mechanics.Presents the bases on computers and networks.Highlights machine learning methods
丛书名称Lecture Notes on Numerical Methods in Engineering and Sciences
图书封面Titlebook: Computational Mechanics with Neural Networks;  Genki Yagawa,Atsuya Oishi Book 2021 The Editor(s) (if applicable) and The Author(s), under e
描述.This book shows how neural networks are applied to computational mechanics. Part I presents the fundamentals of neural networks and other machine learning method in computational mechanics. Part II highlights the applications of neural networks to a variety of problems of computational mechanics. The final chapter gives perspectives to the applications of the deep learning to computational mechanics..
出版日期Book 2021
关键词Computers and Network; Deep Learning; Neural Network; Viscoplastic Constitutive Equations; Numerical Qua
版次1
doihttps://doi.org/10.1007/978-3-030-66111-3
isbn_softcover978-3-030-66113-7
isbn_ebook978-3-030-66111-3Series ISSN 1877-7341 Series E-ISSN 1877-735X
issn_series 1877-7341
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
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发表于 2025-3-21 21:32:01 | 显示全部楼层
Other Algorithms and Systemsork well as the neural networks. In addition, neural networks are often combined with other machine learning algorithms. This chapter describes several algorithms, which are often combined with or compared with neural networks, including the genetic algorithm (GA), the genetic programming (GP), the
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Identifications of Analysis Parametersanalysis (Sect. .), the parameter identification in the augmented Lagrangian method (Sect. .), the predictor-corrector method using the neural networks (Sect. .), and the contact stiffness estimation (Sect. .).
发表于 2025-3-22 14:48:20 | 显示全部楼层
Solvers and Solution Methodsnt methods using mutually connected neural networks (Sects. . and .), the structural re-analysis (Sect. .), the simulations of global flexibility and element stiffness (Sect. .), the domain decomposition (Sect. .), the contact search (Sect. .), the physics-informed neural networks (Section .), etc.
发表于 2025-3-22 17:57:32 | 显示全部楼层
Structural Identification applications of neural networks to nondestructive evaluation, Sect. . the estimation of stable crack growth, Sect. . the prediction of failure mechanism in power plant components, Sect. . the identification of beam structure, and Sect. . the prediction of beam-mass vibration. Various researches cat
发表于 2025-3-22 21:48:31 | 显示全部楼层
Structural Optimizationimization algorithms such as genetic algorithms or evolutionary algorithms. Discussed are neural networks applied to the topology and shape optimization (Sect. .), the preform tool shape optimization (Sect. .), the structural optimization using neural networks and evolutionary methods (Sect. .), the
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Other AI Technologies for Computational Mechanicsiscussed in Chaps. . through .. Topics given here include the parameter identification of constitutive model using evolutionary algorithm (Sect. .), the construction of constitutive model using genetic programming (Sect. .), the data-driven analysis (Sect. .), the numerical quadrature using symbolic
发表于 2025-3-23 09:14:31 | 显示全部楼层
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