Tensile strength prediction of rock material using non-destructive tests: A comparative intelligent study

Optimal ELM–Harris Hawks Optimization and ELM–Grasshopper Optimization Models to Forecast Peak Particle Velocity Resulting from Mine Blasting

(2021) Canxin Yu et al.   Natural Resources Research

Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations

(2021) Jian Zhou et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Geotechnical properties of lime-geogrid improved clayey subgrade under various moisture conditions

(2021) Soheil Jahandari et al.   Road Materials and Pavement Design

Development of fuzzy-GMDH model optimized by GSA to predict rock tensile strength based on experimental datasets

(2020) Hooman Harandizadeh et al.   NEURAL COMPUTING & APPLICATIONS

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

A new hybrid grey wolf optimizer-feature weighted-multiple kernel-support vector regression technique to predict TBM performance

(2020) Haiqing Yang 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

A new approach for estimation of rock brittleness based on non-destructive tests

(2019) Mohammadreza Koopialipoor et al.   Nondestructive Testing and Evaluation

An ensemble tree-based machine learning model for predicting the uniaxial compressive strength of travertine rocks

(2019) Rahim Barzegar et al.   NEURAL COMPUTING & APPLICATIONS

Invasive Weed Optimization Technique-Based ANN to the Prediction of Rock Tensile Strength

(2019) Lei Huang et al.   Applied Sciences-Basel

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

A correlative study on textural properties and crushability of rocks

(2018) Ramazan Comakli 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

Uniaxial compressive strength prediction through a new technique based on gene expression programming

(2017) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

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

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

Application of two intelligent systems in predicting environmental impacts of quarry blasting

(2015) Danial Jahed Armaghani et al.   Arabian Journal of Geosciences

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

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

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

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

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

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

Modeling of tensile strength of rocks materials based on support vector machines approaches

(2012) Nurcihan Ceryan et al.   INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS

Use of the block punch test to predict the compressive and tensile strengths of rocks

(2012) D.A. Mishra et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

A neuro-fuzzy approach for prediction of longitudinal wave velocity

(2012) A. K. Verma et al.   NEURAL COMPUTING & APPLICATIONS

Artificial neural networks and nonlinear regression techniques to assess the influence of slake durability cycles on the prediction of uniaxial compressive strength and modulus of elasticity for carbonate rocks

(2011) S. Yagiz et al.   INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS

Predicting the Uniaxial Compressive and Tensile Strengths of Gypsum Rock by Point Load Testing

(2011) M. Heidari et al.   ROCK MECHANICS AND ROCK ENGINEERING

Prediction of the blastability designation of rock masses using fuzzy sets

(2010) Y. Azimi et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Prediction of compressive and tensile strength of limestone via genetic programming

(2007) A BAYKASOGLU et al.   EXPERT SYSTEMS WITH APPLICATIONS