<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This article uses the radial basis function artificial neural network and the MATLAB toolbox to study the vibration control of civil engineering structures. The article proposes a dynamic structure design method based on a generalized radial basis function neural network. Furthermore, the RBF neural network theory is used to optimize the structure-related controller parameters in geotechnical engineering. The research results show that RBF neural network can more accurately predict the vibration response of civil engineering. It can effectively solve the time lag problem in vibration control.</p>
</abstract>

This article uses the radial basis function artificial neural network and the MATLAB toolbox to study the vibration control of civil engineering structures. The article proposes a dynamic structure design method based on a generalized radial basis function neural network. Furthermore, the RBF neural network theory is used to optimize the structure-related controller parameters in geotechnical engineering. The research results show that RBF neural network can more accurately predict the vibration response of civil engineering. It can effectively solve the time lag problem in vibration control.

Radial Basis Function Neural Network in Vibration Control of Civil Engineering Structure

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

This article uses the radial basis function artificial neural network and the MATLAB toolbox to study the vibration control of civil engineering structures....

Radial Basis Function Neural Network in Vibration Control of Civil Engineering Structure

Online veröffentlicht: 06. Juni 2023

Seitenbereich: 347 - 356

Eingereicht: 28. Jan. 2022

Akzeptiert: 17. März 2022

DOI: https://doi.org/10.2478/amns.2022.2.00016

Schlüsselwörter
Radial basis function, Neural network, Lyapunov stability theory, Civil engineering, Vibration control, Differential evolution algorithm

© 2023 Jing Lu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Radial Basis Function Neural Network in Vibration Control of Civil Engineering Structure

Online veröffentlicht: 06. Juni 2023

Seitenbereich: 347 - 356

Eingereicht: 28. Jan. 2022

Akzeptiert: 17. März 2022

DOI: https://doi.org/10.2478/amns.2022.2.00016

SchlüsselwörterRadial basis function, Neural network, Lyapunov stability theory, Civil engineering, Vibration control, Differential evolution algorithm

© 2023 Jing Lu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Radial basis function, Neural network, Lyapunov stability theory, Civil engineering, Vibration control, Differential evolution algorithm