Optimized Neural Network Prediction Model of Shape Memory Alloy and Its Application for Structural Vibration Control

Optimized Neural Network Prediction Model of Shape Memory Alloy and Its Application for Structural Vibration Control

The traditional mathematical model of shape memory alloy (SMA) is complicated and difficult to program in numerical analysis. The artificial neural network is a nonlinear modeling method which does not depend on the mathematical model and avoids the inevitable error in the traditional modeling metho...

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Detalles Bibliográficos
Autores principales: Meng Zhan, Junsheng Liu, Deli Wang, Xiuyun Chen, Lizhen Zhang, Sheliang Wang
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
SMA
prediction model
BP neural network
genetic algorithm
seismic response
Technology
T
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Engineering (General). Civil engineering (General)
TA1-2040
Microscopy
QH201-278.5
Descriptive and experimental mechanics
QC120-168.85
Acceso en línea:https://doaj.org/article/37e17f2000e5464daf322287420ae3d5
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https://doaj.org/article/37e17f2000e5464daf322287420ae3d5

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