Optimized Random Forest Models for Rock Mass Classification in Tunnel Construction

Gorde:

Xehetasun bibliografikoak
Argitaratua izan da:	Geosciences vol. 15, no. 2 (2025), p. 47
Egile nagusia:	Yang, Bo
Beste egile batzuk:	Danial Jahed Armaghani, Fattahi, Hadi, Afrazi, Mohammad, Koopialipoor, Mohammadreza, Asteris, Panagiotis G, Khandelwal, Manoj
Argitaratua:	MDPI AG
Gaiak:	Boring machines Classification Construction Rock Technicians Rock mass rating Thrust Performance testing Rocks Graphical user interface Sampling techniques Tunnel construction Data compression Tunneling Decision trees Geology Accuracy Bayesian analysis Artificial intelligence Sampling methods Neural networks Optimization Support vector machines Algorithms Engineering Tunnels Methods Performance assessment Probability theory Real time Optimization algorithms Mathematical models Drilling & boring machinery Decision making
Sarrera elektronikoa:	Citation/Abstract Full Text + Graphics Full Text - PDF
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!