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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https://doi.org/10.1007/978-981-10-4475-5analysis (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. .).

精确

Event Reconstruction and Selection,nt 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.

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Study of Movement Speeds Down Stairsimization 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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https://doi.org/10.1007/978-3-030-58992-9scuss here some features of computational mechanics with deep learning. First, similarity and difference between conventional neural networks and deep neural networks are reviewed (Sect. .), then the applications of deep learning to the computational mechanics are shown (Sect. . for the applications

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Numerical Quadraturerical quadrature of the elemental integration. Chapter 9 deals with this issue: Section . describes the classification of the finite elements based on the convergence speed in numerical quadrature, and Sect. . the optimization of quadrature parameters.

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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. .).

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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.