Random Vibration With Machine Learning Method - Couverture rigide

Sun, Jian-Qiao

9789819508112: Random Vibration With Machine Learning Method

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ISBN 10 : 9819508118 ISBN 13 : 9789819508112

Editeur : Springer Verlag, Singapore, 2025

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The book presents the theoretical foundation of random vibration of dynamic systems and new machine learning methods for the analysis of linear and nonlinear random vibration problems.

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�diteur: Springer Verlag, Singapore
Date d'�dition: 2025
Langue: anglais
ISBN 10: 9819508118
ISBN 13: 9789819508112
Reliure: Reli�
Nombre de pages: 194
Coordonn�es du fabricant: Springer Nature Customer Service Center GmbH
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Random Vibration with Machine Learning Method (Hardcover)

Jian-Qiao Sun

Edit� par Springer Verlag, Singapore, Singapore, 2025

ISBN 10 : 9819508118 ISBN 13 : 9789819508112

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Hardcover. Etat : new. Hardcover. The book presents the theoretical foundation of random vibration of dynamic systems and new machine learning methods for the analysis of linear and nonlinear random vibration problems. This is the first book on the market that introduces the tools of artificial intelligence, i.e. neural networks, to engineering problems of random vibration.The first part of the book briefly reviews probability theory, stochastic processes, spectral analysis of stochastic processes, stochastic calculus, and a brief and general discussion of the response process viewed as a mapping of random excitation and uncertainties, equations for response probability distribution and reliability problems. The second part of the book presents studies of linear and nonlinear random vibration problems. In particular, the radial basis neural networks solution is introduced. Extensive examples are presented to demonstrate the neural network solution. Data-driven random vibration problems are also discussed, including density estimation, model identification and model-free generalized cell mapping. Finally, Monte Carlo simulation is discussed from a new perspective.This book can be adopted as an advanced reference book of an undergraduate random vibration class. The entire book is an excellent choice for a graduate random vibration course, and is also a good reference book for practice engineers and researchers. The book presents the theoretical foundation of random vibration of dynamic systems and new machine learning methods for the analysis of linear and nonlinear random vibration problems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9789819508112

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Random Vibration with Machine Learning Method (Nonlinear Physical Science)

Sun, Jian-Qiao

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ISBN 10 : 9819508118 ISBN 13 : 9789819508112

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Random Vibration with Machine Learning Method

Jian-Qiao Sun

Edit� par Springer Nature Singapore Okt 2025, 2025

ISBN 10 : 9819508118 ISBN 13 : 9789819508112

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The book presents the theoretical foundation of random vibration of dynamic systems and new machine learning methods for the analysis of linear and nonlinear random vibration problems. This is the first book on the market that introduces the tools of artificial intelligence, i.e. neural networks, to engineering problems of random vibration.The first part of the book briefly reviews probability theory, stochastic processes, spectral analysis of stochastic processes, stochastic calculus, and a brief and general discussion of the response process viewed as a mapping of random excitation and uncertainties, equations for response probability distribution and reliability problems. The second part of the book presents studies of linear and nonlinear random vibration problems. In particular, the radial basis neural networks solution is introduced. Extensive examples are presented to demonstrate the neural network solution. Data-driven random vibration problems are also discussed, including density estimation, model identification and model-free generalized cell mapping. Finally, Monte Carlo simulation is discussed from a new perspective.This book can be adopted as an advanced reference book of an undergraduate random vibration class. The entire book is an excellent choice for a graduate random vibration course, and is also a good reference book for practice engineers and researchers. 182 pp. Englisch. N� de r�f. du vendeur 9789819508112

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Random Vibration With Machine Learning Method

Sun, Jian-qiao

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ISBN 10 : 9819508118 ISBN 13 : 9789819508112

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Hardcover. Etat : Brand New. 300 pages. 9.26x6.11x9.21 inches. In Stock. N� de r�f. du vendeur x-9819508118

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Random Vibration with Machine Learning Method (Hardcover)

Jian-Qiao Sun

Edit� par Springer Verlag, Singapore, Singapore, 2025

ISBN 10 : 9819508118 ISBN 13 : 9789819508112

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Hardcover. Etat : new. Hardcover. The book presents the theoretical foundation of random vibration of dynamic systems and new machine learning methods for the analysis of linear and nonlinear random vibration problems. This is the first book on the market that introduces the tools of artificial intelligence, i.e. neural networks, to engineering problems of random vibration.The first part of the book briefly reviews probability theory, stochastic processes, spectral analysis of stochastic processes, stochastic calculus, and a brief and general discussion of the response process viewed as a mapping of random excitation and uncertainties, equations for response probability distribution and reliability problems. The second part of the book presents studies of linear and nonlinear random vibration problems. In particular, the radial basis neural networks solution is introduced. Extensive examples are presented to demonstrate the neural network solution. Data-driven random vibration problems are also discussed, including density estimation, model identification and model-free generalized cell mapping. Finally, Monte Carlo simulation is discussed from a new perspective.This book can be adopted as an advanced reference book of an undergraduate random vibration class. The entire book is an excellent choice for a graduate random vibration course, and is also a good reference book for practice engineers and researchers. The book presents the theoretical foundation of random vibration of dynamic systems and new machine learning methods for the analysis of linear and nonlinear random vibration problems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9789819508112

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Random Vibration with Machine Learning Method

Jian-Qiao Sun

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ISBN 10 : 9819508118 ISBN 13 : 9789819508112

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Random Vibration with Machine Learning Method

Jian-Qiao Sun

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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book presents the theoretical foundation of random vibration of dynamic systems and new machine learning methods for the analysis of linear and nonlinear random vibration problems. This is the first book on the market that introduces the tools of artificial intelligence, i.e. neural networks, to engineering problems of random vibration.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 196 pp. Englisch. N� de r�f. du vendeur 9789819508112

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Random Vibration with Machine Learning Method (Hardcover)

Jian-Qiao Sun

Edit� par Springer Verlag, Singapore, Singapore, 2025

ISBN 10 : 9819508118 ISBN 13 : 9789819508112

Neuf Couverture rigide

impression � la demande

Vendeur : AussieBookSeller, Truganina, VIC, Australie

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Hardcover. Etat : new. Hardcover. The book presents the theoretical foundation of random vibration of dynamic systems and new machine learning methods for the analysis of linear and nonlinear random vibration problems. This is the first book on the market that introduces the tools of artificial intelligence, i.e. neural networks, to engineering problems of random vibration.The first part of the book briefly reviews probability theory, stochastic processes, spectral analysis of stochastic processes, stochastic calculus, and a brief and general discussion of the response process viewed as a mapping of random excitation and uncertainties, equations for response probability distribution and reliability problems. The second part of the book presents studies of linear and nonlinear random vibration problems. In particular, the radial basis neural networks solution is introduced. Extensive examples are presented to demonstrate the neural network solution. Data-driven random vibration problems are also discussed, including density estimation, model identification and model-free generalized cell mapping. Finally, Monte Carlo simulation is discussed from a new perspective.This book can be adopted as an advanced reference book of an undergraduate random vibration class. The entire book is an excellent choice for a graduate random vibration course, and is also a good reference book for practice engineers and researchers. The book presents the theoretical foundation of random vibration of dynamic systems and new machine learning methods for the analysis of linear and nonlinear random vibration problems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N� de r�f. du vendeur 9789819508112

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Random Vibration with Machine Learning Method

Jian-Qiao Sun

Edit� par Springer, Springer, 2025

ISBN 10 : 9819508118 ISBN 13 : 9789819508112

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The book presents the theoretical foundation of random vibration of dynamic systems and new machine learning methods for the analysis of linear and nonlinear random vibration problems. This is the first book on the market that introduces the tools of artificial intelligence, i.e. neural networks, to engineering problems of random vibration.The first part of the book briefly reviews probability theory, stochastic processes, spectral analysis of stochastic processes, stochastic calculus, and a brief and general discussion of the response process viewed as a mapping of random excitation and uncertainties, equations for response probability distribution and reliability problems. The second part of the book presents studies of linear and nonlinear random vibration problems. In particular, the radial basis neural networks solution is introduced. Extensive examples are presented to demonstrate the neural network solution. Data-driven random vibration problems are also discussed, including density estimation, model identification and model-free generalized cell mapping. Finally, Monte Carlo simulation is discussed from a new perspective.This book can be adopted as an advanced reference book of an undergraduate random vibration class. The entire book is an excellent choice for a graduate random vibration course, and is also a good reference book for practice engineers and researchers. N� de r�f. du vendeur 9789819508112

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