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Random Vibration with Machine Learning Method
0 - Default Title
Description
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.
Product details
Number of Pages:
196
Release Date:
2025-10-23
Publication Date:
2025-10-23
Publisher:
Springer
Languages:
Original:
English
ISBN10:
9819508118
ISBN13:
9789819508112
GPSR Manufacturer Reference:
Weight:
463 g
Height:
160 cm
Width:
241 cm
Thickness:
17 cm
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