2024
DOI: 10.3389/fphy.2024.1309029
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Multi-parameter identification of earthquake simulation shaking table based on BP neural network

Chunhua Gao,
Cun Li,
Mengyuan Qin
et al.

Abstract: Since the model parameters of the shaking table exist in a non-linear form, this leads to distortion of the reproduced waveforms and can even lead to bias in the ground vibration test results. Therefore, the selection of the controller is particularly critical. Multi-variable (MVC) controllers are often used in shaking table control, to improve the control effect of MVC controllers. In this paper, a multi-parametric (BP-MVC) controller based on BP neural network is proposed. The BP neural network is applied to… Show more

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