A precise neuro-fuzzy model enhanced by artificial bee colony techniques for assessment of rock brittleness index

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

(2021) Jie Zeng et al.   ENGINEERING WITH COMPUTERS

Improved Levenberg–Marquardt backpropagation neural network by particle swarm and whale optimization algorithms to predict the deflection of RC beams

(2021) Jue Zhao et al.   ENGINEERING WITH COMPUTERS

The Effectiveness of Ensemble-Neural Network Techniques to Predict Peak Uplift Resistance of Buried Pipes in Reinforced Sand

(2021) Jie Zeng et al.   Applied Sciences-Basel

Rockburst prediction in hard rock mines developing bagging and boosting tree-based ensemble techniques

(2021) Shi-ming Wang et al.   Journal of Central South University

An optimized system of GMDH-ANFIS predictive model by ICA for estimating pile bearing capacity

(2021) Danial Jahed Armaghani et al.   ARTIFICIAL INTELLIGENCE REVIEW

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

A hybrid GEP and WOA approach to estimate the optimal penetration rate of TBM in granitic rock mass

(2021) Zimu Li et al.   SOFT COMPUTING

Application of hybrid intelligent systems in predicting the unconfined compressive strength of clay material mixed with recycled additive

(2021) Mohammed Ali Mohammed Al-Bared et al.   Transportation Geotechnics

Proposing a novel comprehensive evaluation model for the coal burst liability in underground coal mines considering uncertainty factors

(2021) Jian Zhou et al.   International Journal of Mining Science and Technology

Improving the efficiency of microseismic source locating using a heuristic algorithm-based virtual field optimization method

(2021) Jian Zhou et al.   Geomechanics and Geophysics for Geo-Energy and Geo-Resources

The Effects of Rock Index Tests on Prediction of Tensile Strength of Granitic Samples: A Neuro-Fuzzy Intelligent System

(2021) Yan Li et al.   Sustainability

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

(2021) Maryam Parsajoo et al.   Transportation Geotechnics

An evolutionary adaptive neuro-fuzzy inference system for estimating field penetration index of tunnel boring machine in rock mass

(2021) Maryam Parsajoo et al.   Journal of Rock Mechanics and Geotechnical Engineering

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

Investigating the Applications of Machine Learning Techniques to Predict the Rock Brittleness Index

(2020) Deliang Sun et al.   Applied Sciences-Basel

Prediction of rockburst risk in underground projects developing a neuro-bee intelligent system

(2020) Jian Zhou et al.   Bulletin of Engineering Geology and the Environment

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 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

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

Estimation of ultimate bearing capacity of driven piles in c-φ soil using MLP-GWO and ANFIS-GWO models: a comparative study

(2020) Ali Dehghanbanadaki et al.   Soft Computing

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

Prediction of air-overpressure induced by blasting using an ANFIS-PNN model optimized by GA

(2020) Hooman Harandizadeh et al.   APPLIED SOFT COMPUTING

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

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

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

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

Privacy-preserving in association rule mining using an improved discrete binary artificial bee colony

(2019) Akbar Telikani et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

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

Rock tensile strength prediction using empirical and soft computing approaches

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

Rock brittleness prediction through two optimization algorithms namely particle swarm optimization and imperialism competitive algorithm

(2018) Azham Hussain et al.   ENGINEERING WITH COMPUTERS

A new developed approach for the prediction of ground vibration using a hybrid PSO-optimized ANFIS-based model

(2017) Azam Shahnazar et al.   Environmental Earth Sciences

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

An adaptive and hybrid artificial bee colony algorithm (aABC) for ANFIS training

(2016) Dervis Karaboga et al.   APPLIED SOFT COMPUTING

A sanitization approach for hiding sensitive itemsets based on particle swarm optimization

(2016) Jerry Chun-Wei Lin et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models

(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

Prediction of the durability of limestone aggregates using computational techniques

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

An optimized ANN model based on genetic algorithm for predicting ripping production

(2016) Edy Tonnizam Mohamad et al.   NEURAL COMPUTING & APPLICATIONS

Feasibility of PSO–ANFIS model to estimate rock fragmentation produced by mine blasting

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

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

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

Evaluation Methodology of Brittleness of Rock Based on Post-Peak Stress–Strain Curves

(2014) Fanzhen Meng et al.   ROCK MECHANICS AND ROCK ENGINEERING

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

Universal criteria for rock brittleness estimation under triaxial compression

(2013) Boris Tarasov et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

A dynamically approach based on SVM algorithm for prediction of tunnel convergence during excavation

(2013) Satar Mahdevari et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Application of artificial intelligence algorithms in predicting tunnel convergence to avoid TBM jamming phenomenon

(2012) Satar Mahdevari et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Estimation of elastic constant of rocks using an ANFIS approach

(2011) Rajesh Singh et al.   APPLIED SOFT COMPUTING

A modified Artificial Bee Colony algorithm for real-parameter optimization

(2010) Bahriye Akay et al.   INFORMATION SCIENCES

The drillability assessment of rocks using the different brittleness values

(2010) Olgay Yarali 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

Application of fuzzy inference system and nonlinear regression models for predicting rock brittleness

(2009) Saffet Yagiz et al.   EXPERT SYSTEMS WITH APPLICATIONS

Assessment of some brittleness indexes in rock-drilling efficiency

(2009) Rasit Altindag   ROCK MECHANICS AND ROCK ENGINEERING

Relative brittleness characterization of some selected granitic building stones: Influence of mineral grain size

(2008) N. Gunes Yilmaz et al.   CONSTRUCTION AND BUILDING MATERIALS

Assessment of brittleness using rock strength and density with punch penetration test

(2008) Saffet Yagiz   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

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

(2007) K. Zorlu et al.   ENGINEERING GEOLOGY