Prediction model of rock mass class using classification and regression tree integrated AdaBoost algorithm based on TBM driving data

Prediction of geological conditions for a tunnel boring machine using big operational data

(2019) Qianli Zhang et al.   AUTOMATION IN CONSTRUCTION

Improved support vector regression models for predicting rock mass parameters using tunnel boring machine driving data

(2019) Bin Liu et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Application of rock mass classification systems for performance estimation of rock TBMs using regression tree and artificial intelligence algorithms

(2019) Alireza Salimi et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Prediction of rock mass parameters in the TBM tunnel based on BP neural network integrated simulated annealing algorithm

(2019) B. Liu et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Development and in-situ application of a real-time monitoring system for the interaction between TBM and surrounding rock

(2018) Xing Huang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

A case study of TBM performance prediction using field tunnelling tests in limestone strata

(2018) Liu-jie Jing et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

A case study of TBM performance prediction using a Chinese rock mass classification system – Hydropower Classification (HC) method

(2017) Quansheng Liu et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition

(2017) Danial Jahed Armaghani et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Stability assessment of hard rock pillars using two intelligent classification techniques: A comparative study

(2017) Ebrahim Ghasemi et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Performance prediction of hard rock Tunnel Boring Machines (TBMs) in difficult ground

(2016) Jamal Rostami   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Application of various optimization techniques and comparison of their performances for predicting TBM penetration rate in rock mass

(2015) Saffet Yagiz et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Analysis on the Rock–Cutter Interaction Mechanism During the TBM Tunneling Process

(2015) Haiqing Yang et al.   ROCK MECHANICS AND ROCK ENGINEERING

The application of pattern recognition in the automatic classification of microscopic rock images

(2013) Mariusz Młynarczuk et al.   COMPUTERS & GEOSCIENCES

An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics

(2013) Victoria López et al.   INFORMATION SCIENCES

Learning of a single-hidden layer feedforward neural network using an optimized extreme learning machine

(2013) Tiago Matias et al.   NEUROCOMPUTING

Estimating torque, thrust and other design parameters of different type TBMs with some criticism to TBMs used in Turkish tunneling projects

(2013) Ugur Ates et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Study of various models for estimation of penetration rate of hard rock TBMs

(2012) Ebrahim Farrokh et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Performance prediction of hard rock TBM using Rock Mass Rating (RMR) system

(2010) Jafar Khademi Hamidi et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data

(2009) Bjoern H Menze et al.   BMC BIOINFORMATICS

Learning a Mahalanobis distance metric for data clustering and classification

(2008) Shiming Xiang et al.   PATTERN RECOGNITION

Geotechnical risk assessment based approach for rock TBM selection in difficult ground conditions

(2007) Kourosh Shahriar et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY