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/10.1007/978-3-030-58992-9 manipulation (Sect. .), the contact search using genetic algorithm (Sect. .), the contact search using genetic programming (Sect. .), the non-linear equation systems solved with genetic algorithm (Sect. .), and other applications using various machine learning methods (Sects. .–.).

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1877-7341 learning methods.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 computati

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Searching for new physics with XENON1T,ism in power plant components, Sect. . the identification of beam structure, and Sect. . the prediction of beam-mass vibration. Various researches categorized to the above applications are reviewed in Sect. ..

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https://doi.org/10.1007/978-3-030-58992-9 neural networks are reviewed (Sect. .), then the applications of deep learning to the computational mechanics are shown (Sect. . for the applications of deep convolutional networks, and Sect. . for those of deep feedforward networks). Finally, the applications of miscellaneous deep networks to computational mechanics are discussed in Sect. ..

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