研究论文
Modeling of Tunnel Boring Machine Performance Employing Random Forest Algorithm
Candan Gökçeoğlu, Cagatay Bal, Çağdaş Hakan Aladağ
Hacettepe University Muğla University
来源Geotechnical and Geological Engineering
年份2023
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学术脉络
学科主题
工程Tunneling and Rock Mechanics
Geotechnical Engineering and Analysis · Geotechnical Engineering and Underground Structures
参考文献 88
Forecasting with artificial neural networks:
被引 4,235Guoqiang Zhang, B. Eddy Patuwo, Michael Y. Hu · International Journal of Forecasting · 1998
The decision tree classifier: Design and potential
被引 553Philip H. Swain, Hans Hauska · IEEE transactions on geoscience electronics · 1977
A new linear & nonlinear artificial neural network model for time series forecasting
被引 133Ufuk Yolcu, Erol Eğrioğlu, Çağdaş Hakan Aladağ · Decision Support Systems · 2012
此处列出前 3 条
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Prediction model of goaf coal temperature based on PSO-GRU deep neural network
被引 63Jun Guo, Changming Chen, Hu Wen · Case Studies in Thermal Engineering · 2023
Real-time prediction of TBM penetration rates using a transformer-based ensemble deep learning model
被引 34Minggong Zhang, Ankang Ji, Chang Zhou · Automation in Construction · 2024
Optimization of TBM Tunneling Parameters for Deep Buried Tunnel Based on Rock Cluster Grading and Strata Intelligent Identification
被引 28Kang Fu, Daohong Qiu, Yiguo Xue · Rock Mechanics and Rock Engineering · 2024
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