Supervised Machine Learning Techniques to the Prediction of Tunnel Boring Machine Penetration Rate

Development of a new hybrid ANN for solving a geotechnical problem related to tunnel boring machine performance

(2019) Mohammadreza Koopialipoor et al.   ENGINEERING WITH COMPUTERS

Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures

(2019) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Effects of a proper feature selection on prediction and optimization of drilling rate using intelligent techniques

(2019) Xiufeng Liao et al.   ENGINEERING WITH COMPUTERS

Application of deep neural networks in predicting the penetration rate of tunnel boring machines

(2019) Mohammadreza Koopialipoor et al.   Bulletin of Engineering Geology and the Environment

Assessing Dynamic Conditions of the Retaining Wall: Developing Two Hybrid Intelligent Models

(2019) Hui Chen et al.   Applied Sciences-Basel

Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns

(2019) Payam Sarir et al.   ENGINEERING WITH COMPUTERS

Deep neural network and whale optimization algorithm to assess flyrock induced by blasting

(2019) Hongquan Guo et al.   ENGINEERING WITH COMPUTERS

Feasibility of Stochastic Gradient Boosting Approach for Evaluating Seismic Liquefaction Potential Based on SPT and CPT Case Histories

(2019) Jian Zhou et al.   JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES

Intelligent Prediction of Blasting-Induced Ground Vibration Using ANFIS Optimized by GA and PSO

(2019) Haiqing Yang et al.   Natural Resources Research

Slope stability prediction for circular mode failure using gradient boosting machine approach based on an updated database of case histories

(2019) Jian Zhou et al.   SAFETY SCIENCE

Model test on the entrainment phenomenon and energy conversion mechanism of flow-like landslides

(2018) H.Q. Yang et al.   ENGINEERING GEOLOGY

Krill herd algorithm-based neural network in structural seismic reliability evaluation

(2018) Panagiotis G. Asteris et al.   MECHANICS OF ADVANCED MATERIALS AND STRUCTURES

Investigation on the Cracking Character of Jointed Rock Mass Beneath TBM Disc Cutter

(2018) Haiqing Yang et al.   ROCK MECHANICS AND ROCK ENGINEERING

Effects of joints on the cutting behavior of disc cutter running on the jointed rock mass

(2018) H.Q. Yang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Predicting tunnel boring machine performance through a new model based on the group method of data handling

(2018) Mohammadreza Koopialipoor et al.   Bulletin of Engineering Geology and the Environment

Rock tensile strength prediction using empirical and soft computing approaches

(2018) Amir Mahdiyar et al.   Bulletin of Engineering Geology and the Environment

Performance prediction of tunnel boring machine through developing a gene expression programming equation

(2017) Danial Jahed Armaghani et al.   ENGINEERING WITH COMPUTERS

Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil

(2017) Hossein Moayedi et al.   ENGINEERING WITH COMPUTERS

Weathering characterization for landslides modeling in granitoid rock masses of the Capo Vaticano promontory (Calabria, Italy)

(2017) Fabio Ietto et al.   Landslides

Self-compacting concrete strength prediction using surrogate models

(2017) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials

(2017) Panagiotis Asteris et al.   SENSORS

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

Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)

(2017) Bahareh Kalantar et al.   Geomatics Natural Hazards & Risk

Estimation and Mapping of Winter Oilseed Rape LAI from High Spatial Resolution Satellite Data Based on a Hybrid Method

(2017) Chuanwen Wei et al.   Remote Sensing

Feasibility of Random-Forest Approach for Prediction of Ground Settlements Induced by the Construction of a Shield-Driven Tunnel

(2017) Jian Zhou et al.   International Journal of Geomechanics

NS-k-NN: Neutrosophic Set-Based k-Nearest Neighbors Classifier

(2017) Yaman Akbulut et al.   Symmetry-Basel

Intelligent modelling of sandstone deformation behaviour using fuzzy logic and neural network systems

(2016) Behnam Yazdani Bejarbaneh et al.   Bulletin of Engineering Geology and the Environment

Geotechnical and landslide aspects in weathered granitoid rock masses (Serre Massif, southern Calabria, Italy)

(2016) F. Ietto et al.   CATENA

Characteristics of weathering zones of granitic rocks in Malaysia for geotechnical engineering design

(2016) S.V. Alavi Nezhad Khalil Abad et al.   ENGINEERING GEOLOGY

Rock strength assessment based on regression tree technique

(2016) Maybelle Liang et al.   ENGINEERING WITH COMPUTERS

Classification and regression tree technique in estimating peak particle velocity caused by blasting

(2016) Manoj Khandelwal et al.   ENGINEERING WITH COMPUTERS

Prediction of the uniaxial compressive strength of sandstone using various modeling techniques

(2016) Danial Jahed Armaghani et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods

(2016) Jian Zhou et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Potential of soft computing approach for evaluating the factors affecting the capacity of steel–concrete composite beam

(2016) Ali Toghroli et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Anisotropic masonry failure criterion using artificial neural networks

(2016) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Prediction and minimization of blast-induced flyrock using gene expression programming and firefly algorithm

(2016) Roohollah Shirani Faradonbeh et al.   NEURAL COMPUTING & APPLICATIONS

Feasibility of stochastic gradient boosting approach for predicting rockburst damage in burst-prone mines

(2016) Jian ZHOU et al.   TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA

Analysis on the damage behavior of mixed ground during TBM cutting process

(2016) Haiqing Yang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China)

(2016) Haoyuan Hong et al.   Geomatics Natural Hazards & Risk

Application of fuzzy inference system for prediction of rock fragmentation induced by blasting

(2015) Samira Shams et al.   Arabian Journal of Geosciences

A quasi-three-dimensional spring-deformable-block model for runout analysis of rapid landslide motion

(2015) H.Q. Yang et al.   ENGINEERING GEOLOGY

Feasibility of indirect determination of blast induced ground vibration based on support vector machine

(2015) Mahdi Hasanipanah et al.   MEASUREMENT

Comparative performance of six supervised learning methods for the development of models of hard rock pillar stability prediction

(2015) Jian Zhou et al.   NATURAL HAZARDS

Analysis of the excavation damaged zone around a tunnel accounting for geostress and unloading

(2014) H.Q. Yang et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

A support vector regression model for predicting tunnel boring machine penetration rates

(2014) Satar Mahdevari et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Comparing Machine Learning Classifiers for Object-Based Land Cover Classification Using Very High Resolution Imagery

(2014) Yuguo Qian et al.   Remote Sensing

Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization

(2013) D. Jahed Armaghani et al.   Arabian Journal of Geosciences

Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression

(2013) Taskin Kavzoglu et al.   Landslides

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

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

Study of the influence of geotechnical parameters on the TBM performance in Tehran–Shomal highway project using ANN and SPSS

(2011) S. R. Torabi et al.   Arabian Journal of Geosciences

Application of two non-linear prediction tools to the estimation of tunnel boring machine performance

(2009) S. Yagiz et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Application of Fuzzy Set Theory to Rock Engineering Classification Systems: An Illustration of the Rock Mass Excavability Index

(2009) Jafar Khademi Hamidi et al.   ROCK MECHANICS AND ROCK ENGINEERING

Development of a rock mass characteristics model for TBM penetration rate prediction

(2008) Q.M. Gong et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Prediction of uniaxial compressive strength of sandstones using petrography-based models

(2007) K. Zorlu et al.   ENGINEERING GEOLOGY

Utilizing rock mass properties for predicting TBM performance in hard rock condition

(2007) Saffet Yagiz   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY