Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance

Big data management in the mining industry

(2020) Chong-chong Qi   International Journal of Minerals Metallurgy and Materials

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

A novel artificial intelligence technique to predict compressive strength of recycled aggregate concrete using ICA-XGBoost model

(2020) Jin Duan et al.   ENGINEERING WITH COMPUTERS

Examining Hybrid and Single SVM Models with Different Kernels to Predict Rock Brittleness

(2020) Danial Jahed Armaghani et al.   Sustainability

On the Use of Neuro-Swarm System to Forecast the Pile Settlement

(2020) Danial Jahed Armaghani et al.   Applied Sciences-Basel

A Novel Intelligent ELM-BBO Technique for Predicting Distance of Mine Blasting-Induced Flyrock

(2020) Bhatawdekar Ramesh Murlidhar et al.   Natural Resources Research

A comparative study of ANN and ANFIS models for the prediction of cement-based mortar materials compressive strength

(2020) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

Predicting the use frequency of ride-sourcing by off-campus university students through random forest and Bayesian network techniques

(2020) Mahdi Aghaabbasi et al.   TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE

Mapping and holistic design of natural hydraulic lime mortars

(2020) Maria Apostolopoulou et al.   CEMENT AND CONCRETE RESEARCH

Mechanics and safety issues in tailing-based backfill: A review

(2020) Xu Zhao et al.   International Journal of Minerals Metallurgy and Materials

Safety of barricades in cemented paste-backfilled stopes

(2020) Xu Zhao et al.   International Journal of Minerals Metallurgy and Materials

An Efficient Optimal Neural Network Based on Gravitational Search Algorithm in Predicting the Deformation of Geogrid-Reinforced Soil Structures

(2020) Ehsan Momeni et al.   Transportation Geotechnics

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

Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models

(2020) Jian Zhou et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

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

(2020) Jian Zhou et al.   Geoscience Frontiers

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

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

Random Forests and Cubist Algorithms for Predicting Shear Strengths of Rockfill Materials

(2019) Jian Zhou et al.   Applied Sciences-Basel

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

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

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

Extreme learning machine optimized by whale optimization algorithm using insulated gate bipolar transistor module aging degree evaluation

(2019) Ling-Ling Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Effect of Water Content on Argillization of Mudstone During the Tunnelling process

(2019) Bolong Liu et al.   ROCK MECHANICS AND ROCK ENGINEERING

An analytical solution for evaluating the safety of an exposed face in a paste backfill stope incorporating the arching phenomenon

(2019) Xu Zhao et al.   International Journal of Minerals Metallurgy and Materials

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

A new adjusting technique for PID type fuzzy logic controller using PSOSCALF optimization algorithm

(2019) Elham Yazdani Bejarbaneh et al.   APPLIED SOFT COMPUTING

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

Predicting compressive strength of lightweight foamed concrete using extreme learning machine model

(2018) Zaher Mundher Yaseen et al.   ADVANCES IN ENGINEERING SOFTWARE

Evaluating random set technique for reliability analysis of deep urban excavation using Monte Carlo simulation

(2018) Ehsan Momeni et al.   COMPUTERS AND GEOTECHNICS

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

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

ELM based smile detection using Distance Vector

(2018) Dongshun Cui et al.   PATTERN RECOGNITION

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

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

Training an extreme learning machine by localized generalization error model

(2018) Hong Zhu et al.   SOFT COMPUTING

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

Evaluation method of rockburst: State-of-the-art literature review

(2018) Jian Zhou et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Bayesian prediction of TBM penetration rate in rock mass

(2017) Amoussou Coffi Adoko et al.   ENGINEERING GEOLOGY

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

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

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

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

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

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

Prediction of the durability of limestone aggregates using computational techniques

(2016) Seyed Vahid Alavi Nezhad Khalil Abad et al.   NEURAL COMPUTING & APPLICATIONS

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

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

Bearing capacity of precast thin-walled foundation in sand

(2015) Ehsan Momeni et al.   PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-GEOTECHNICAL ENGINEERING

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

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

An improved cuckoo search based extreme learning machine for medical data classification

(2015) P. Mohapatra et al.   Swarm and Evolutionary Computation

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

Predicting penetration rate of hard rock tunnel boring machine using fuzzy logic

(2013) Ebrahim Ghasemi et al.   Bulletin of Engineering Geology and the Environment

Iteration PSO with time varying acceleration coefficients for solving non-convex economic dispatch problems

(2012) B. Mohammadi-Ivatloo et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Modified Mohr–Coulomb criterion for non-linear triaxial and polyaxial strength of jointed rocks

(2012) Mahendra Singh et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Self-Adaptive Evolutionary Extreme Learning Machine

(2012) Jiuwen Cao et al.   NEURAL PROCESSING LETTERS

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

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

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Prediction of hard rock TBM penetration rate using particle swarm optimization

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

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

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

(2007) Saffet Yagiz   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY