Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques

Random Forest and Bayesian Network Techniques for Probabilistic Prediction of Flyrock Induced by Blasting in Quarry Sites

(2020) Han Han et al.   Natural Resources Research

Hybrid meta-heuristic and machine learning algorithms for tunneling-induced settlement prediction: A comparative study

(2020) Pin Zhang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

A Novel Hybrid Soft Computing Model Using Random Forest and Particle Swarm Optimization for Estimation of Undrained Shear Strength of Soil

(2020) Binh Thai Pham et al.   Sustainability

Design of robust control based on linear matrix inequality and a novel hybrid PSO search technique for autonomous underwater vehicle

(2020) Elham Yazdani Bejarbaneh et al.   APPLIED OCEAN RESEARCH

Stability prediction of Himalayan residual soil slope using artificial neural network

(2020) Arunava Ray et al.   NATURAL HAZARDS

Prediction of slope failure in open-pit mines using a novel hybrid artificial intelligence model based on decision tree and evolution algorithm

(2020) Xuan-Nam Bui et al.   Scientific Reports

Performance Evaluation of Machine Learning Methods for Forest Fire Modeling and Prediction

(2020) Binh Thai Pham et al.   Symmetry-Basel

Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate

(2020) Jian Zhou et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility

(2019) Abolfazl Jaafari et al.   CATENA

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

Estimating the Heating Load of Buildings for Smart City Planning Using a Novel Artificial Intelligence Technique PSO-XGBoost

(2019) Le Thi Le et al.   Applied Sciences-Basel

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

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

(2019) Hai Xu et al.   Applied Sciences-Basel

Computational Intelligence Model for Estimating Intensity of Blast-Induced Ground Vibration in a Mine Based on Imperialist Competitive and Extreme Gradient Boosting Algorithms

(2019) Ziwei Ding 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

Prediction of Blast-Induced Rock Movement During Bench Blasting: Use of Gray Wolf Optimizer and Support Vector Regression

(2019) Zhi Yu et al.   Natural Resources Research

Forecasting of TBM advance rate in hard rock condition based on artificial neural network and genetic programming techniques

(2019) Jian Zhou et al.   Bulletin of Engineering Geology and the Environment

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

State-of-the-art review of soft computing applications in underground excavations

(2019) Wengang Zhang et al.   Geoscience Frontiers

Parameter optimization of support vector regression based on sine cosine algorithm

(2018) Sai Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Spatial prediction of landslides using a hybrid machine learning approach based on Random Subspace and Classification and Regression Trees

(2018) Binh Thai Pham et al.   GEOMORPHOLOGY

Comparison of grey wolf, whale, water cycle, ant lion and sine-cosine algorithms for the optimization of a vehicle engine connecting rod

(2018) Betül Sultan Yıldız et al.   Materials Testing

A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran

(2018) Khabat Khosravi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A synergy of the sine-cosine algorithm and particle swarm optimizer for improved global optimization and object tracking

(2018) Hathiram Nenavath et al.   Swarm and Evolutionary Computation

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

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

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

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

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

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

(2016) Manoj Khandelwal et al.   ENGINEERING WITH COMPUTERS

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

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

SCA: A Sine Cosine Algorithm for solving optimization problems

(2016) Seyedali Mirjalili   KNOWLEDGE-BASED SYSTEMS

DGM (1, 1) model optimized by MVO (multi-verse optimizer) for annual peak load forecasting

(2016) Huiru Zhao et al.   NEURAL COMPUTING & APPLICATIONS

Binary grey wolf optimization approaches for feature selection

(2016) E. Emary et al.   NEUROCOMPUTING

Application of non-linear regression analysis and artificial intelligence algorithms for performance prediction of hard rock TBMs

(2016) Alireza Salimi et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

A social spider algorithm for global optimization

(2015) James J.Q. Yu et al.   APPLIED SOFT COMPUTING

Prediction of penetration per revolution in TBM tunneling as a function of intact rock and rock mass characteristics

(2015) A. Benato et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

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

Moth-flame optimization algorithm: A novel nature-inspired heuristic paradigm

(2015) Seyedali Mirjalili   KNOWLEDGE-BASED SYSTEMS

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

Multi-Verse Optimizer: a nature-inspired algorithm for global optimization

(2015) Seyedali Mirjalili et al.   NEURAL COMPUTING & APPLICATIONS

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

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

Indirect measure of shale shear strength parameters by means of rock index tests through an optimized artificial neural network

(2014) Danial Jahed Armaghani et al.   MEASUREMENT

Application of RMR for Estimating Rock-Mass–Related TBM Utilization and Performance Parameters: A Case Study

(2014) O. Frough et al.   ROCK MECHANICS AND ROCK ENGINEERING

A swarm optimization algorithm inspired in the behavior of the social-spider

(2013) Erik Cuevas et al.   EXPERT SYSTEMS WITH APPLICATIONS

Support vector machines approach to mean particle size of rock fragmentation due to bench blasting prediction

(2012) Xiu-zhi SHI et al.   TRANSACTIONS OF NONFERROUS METALS SOCIETY OF CHINA

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

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

Prediction of hard rock TBM penetration rate using particle swarm optimization

(2011) Saffet Yagiz et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Long-term prediction model of rockburst in underground openings using heuristic algorithms and support vector machines

(2011) Jian Zhou et al.   SAFETY SCIENCE

A new hard rock TBM performance prediction model for project planning

(2011) J. Hassanpour et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

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

Prediction of macerals contents of Indian coals from proximate and ultimate analyses using artificial neural networks

(2009) Manoj Khandelwal et al.   FUEL

Prediction of blast-induced ground vibration using artificial neural network

(2009) Manoj Khandelwal et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

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

Fault detection and identification with a new feature selection based on mutual information

(2007) Sylvain Verron et al.   JOURNAL OF PROCESS CONTROL

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

(2007) Saffet Yagiz   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY