Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Prediction of Rate of Penetration Based on Random Forest in Deep Well
Prediction of Rate of Penetration Based on Random Forest in Deep Well
Prediction of Rate of Penetration Based on Random Forest in Deep Well
Li, Shouding (Autor:in) / Zhang, Jialiang (Autor:in) / Wu, Siyuan (Autor:in) / Chen, Weichang (Autor:in) / Chen, Dong (Autor:in) / Li, Xiao (Autor:in) / Wang, Han (Autor:in)
International Conference on Information Technology in Geo-Engineering ; 3. ; 2019 ; Guimarães
2020
Aufsatz (Konferenz)
Englisch
Prediction of Rate of Penetration Based on Random Forest in Deep Well
Springer Verlag | 2019
|Cone Penetration Test Prediction Based on Random Forest Models and Deep Neural Networks
Online Contents | 2023
|Prediction of rate of penetration with data from adjacent well using artificial neural network
Springer Verlag | 2019
|