Parameter prediction method of shield slurry separation system by neural network based on wavelet denoising
Civil Engineering|更新时间:2025-11-14
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Parameter prediction method of shield slurry separation system by neural network based on wavelet denoising
“In the field of shield tunneling engineering, experts have established a parameter prediction model for the mud water separation system, providing a solution to improve construction safety and stability.”
Journal of Civil and Environmental EngineeringVol. 47, Issue 1, Pages: 11-17(2025)
作者机构:
1.北京石油化工学院 机械工程学院,北京 102617
2.中铁隧道集团二处有限公司,河北 三河 065201
作者简介:
ZHOU Cuihong (1973- ), PhD, professor, main research interests: separation theory and separation equipment, E-mail: zhoucuihong@bipt.edu.cn.
基金信息:
National Natural Science Foundation of China(51104022)
ZHOU Cuihong,ZHOU Fuqiang,LIU Zhaohe,et al.Parameter prediction method of shield slurry separation system by neural network based on wavelet denoising[J].Journal of Civil and Environmental Engineering,2025,47(01):11-17.
ZHOU Cuihong,ZHOU Fuqiang,LIU Zhaohe,et al.Parameter prediction method of shield slurry separation system by neural network based on wavelet denoising[J].Journal of Civil and Environmental Engineering,2025,47(01):11-17. DOI: 10.11835/j.issn.2096-6717.2022.133.
Parameter prediction method of shield slurry separation system by neural network based on wavelet denoising