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

• Autores: Jing Lu, Qianyuan Chen, Ahmed Mohamed Helmi Mohamed Elsadek Abd Elfatah
• Localización: Applied Mathematics and Nonlinear Sciences, ISSN-e 2444-8656, Vol. 8, Nº. 1, 2023, págs. 347-356
• Idioma: inglés
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• Resumen

  • 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 basedon a generalized radial basis function neural network. Furthermore, the RBF neural network theory is used tooptimize the structure-related controller parameters in geotechnical engineering. The research results showthat RBF neural network can more accurately predict the vibration response of civil engineering. It can effectivelysolve the time lag problem in vibration control.