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

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

A Monte Carlo simulation approach for effective assessment of flyrock based on intelligent system of neural network

(2019) Jian Zhou et al.   ENGINEERING WITH COMPUTERS

Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm

(2019) Jian Zhou et al.   ENGINEERING WITH COMPUTERS

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

Seismic response of tunnel lining structure in a thick expansive soil stratum

(2019) Y.X. Wang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Three hybrid intelligent models in estimating flyrock distance resulting from blasting

(2018) Mohammadreza Koopialipoor et al.   ENGINEERING WITH COMPUTERS

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

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

Applying various hybrid intelligent systems to evaluate and predict slope stability under static and dynamic conditions

(2018) Mohammadreza Koopialipoor et al.   SOFT COMPUTING

Failure characteristics and stress distribution of pre-stressed rock specimen with circular cavity subjected to dynamic loading

(2018) Ming Tao et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Experimental simulation investigation on rockburst induced by spalling failure in deep circular tunnels

(2018) Feng-qiang Gong et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

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

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

Behavior and Modeling of Fiber-Reinforced Clay under Triaxial Compression by Combining the Superposition Method with the Energy-Based Homogenization Technique

(2018) Yixian Wang et al.   International Journal of Geomechanics

Dynamic response of pre-stressed rock with a circular cavity subject to transient loading

(2017) Ming Tao et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Comparison of Multiple Linear Regression, Cubist Regression, and Random Forest Algorithms to Estimate Daily Air Surface Temperature from Dynamic Combinations of MODIS LST Data

(2017) Phan Noi 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

Prediction of self-compacting concrete strength using artificial neural networks

(2016) P.G. Asteris et al.   European Journal of Environmental and Civil Engineering

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

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

Application of PSO to develop a powerful equation for prediction of flyrock due to blasting

(2016) Mahdi Hasanipanah et al.   NEURAL COMPUTING & APPLICATIONS

Anisotropic masonry failure criterion using artificial neural networks

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

Prediction of the Fundamental Period of Infilled RC Frame Structures Using Artificial Neural Networks

(2016) Panagiotis G. Asteris et al.   Computational Intelligence and Neuroscience

Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach

(2015) Mohsen Hajihassani et al.   Environmental Earth Sciences

A new approach for determination of the shear bond strength of thin spray-on liners

(2015) Qiuqiu Qiao et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

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

Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation

(2015) Tzu-Tsung Wong   PATTERN RECOGNITION

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

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

A low-cost INS/GPS integration methodology based on random forest regression

(2013) Srujana Adusumilli et al.   EXPERT SYSTEMS WITH APPLICATIONS

Artificial Neural Networks for Modeling Drained Monotonic Behavior of Rockfill Materials

(2013) Ata Aghaei Araei   International Journal of Geomechanics

Rockfill shear strength evaluation: a rational method based on size effects

(2012) E. FROSSARD et al.   GEOTECHNIQUE

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

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

(2011) Jian Zhou et al.   SAFETY SCIENCE

Numerical simulation of the shear behavior of rockfills

(2009) Ming Xu et al.   COMPUTERS AND GEOTECHNICS

Sensitivity Analysis of k-Fold Cross Validation in Prediction Error Estimation

(2009) J.D. Rodriguez et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Prediction of relative crest settlement of concrete-faced rockfill dams analyzed using an artificial neural network model

(2007) Yong-Seong Kim et al.   COMPUTERS AND GEOTECHNICS