Strength evaluation of granite block samples with different predictive models

The use of new intelligent techniques in designing retaining walls

(2019) Mohammadreza Koopialipoor et al.   ENGINEERING WITH COMPUTERS

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

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

Use of Intelligent Methods to Design Effective Pattern Parameters of Mine Blasting to Minimize Flyrock Distance

(2019) Jian Zhou et al.   Natural Resources Research

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

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

Estimating the friction angle of black shale core specimens with hybrid-ANN approaches

(2019) Zehui Shao et al.   MEASUREMENT

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

Multi-planar detection optimization algorithm for the interval charging structure of large-diameter longhole blasting design based on rock fragmentation aspects

(2018) Mingzheng Wang et al.   ENGINEERING OPTIMIZATION

Three hybrid intelligent models in estimating flyrock distance resulting from blasting

(2018) Mohammadreza Koopialipoor et al.   ENGINEERING WITH COMPUTERS

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

(2018) Mohammadreza Koopialipoor et al.   SOFT COMPUTING

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

Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples

(2017) Manoj Khandelwal et al.   ENGINEERING WITH COMPUTERS

An expert system based on hybrid ICA-ANN technique to estimate macerals contents of Indian coals

(2017) Manoj Khandelwal et al.   Environmental Earth Sciences

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

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

Development of a new model for predicting flyrock distance in quarry blasting: a genetic programming technique

(2016) Roohollah Shirani Faradonbeh et al.   Bulletin of Engineering Geology and the Environment

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

Rock strength assessment based on regression tree technique

(2016) Maybelle Liang 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

Genetic programming and gene expression programming for flyrock assessment due to mine blasting

(2016) Roohollah Shirani Faradonbeh et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Rock strength estimation: a PSO-based BP approach

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

Prediction of the strength and elasticity modulus of granite through an expert artificial neural network

(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

Genetic programing and non-linear multiple regression techniques to predict backbreak in blasting operation

(2015) Roohollah Shirani Faradonbeh et al.   ENGINEERING WITH COMPUTERS

Application of several non-linear prediction tools for estimating uniaxial compressive strength of granitic rocks and comparison of their performances

(2015) Danial Jahed Armaghani et al.   ENGINEERING WITH COMPUTERS

Combination of neural network and ant colony optimization algorithms for prediction and optimization of flyrock and back-break induced by blasting

(2015) Amir Saghatforoush et al.   ENGINEERING WITH COMPUTERS

Strength characterisation of shale using Mohr–Coulomb and Hoek–Brown criteria

(2015) Behnam Yazdani Bejarbaneh et al.   MEASUREMENT

Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks

(2015) Ehsan Momeni et al.   MEASUREMENT

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

An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young’s modulus: a study on Main Range granite

(2014) Danial Jahed Armaghani et al.   Bulletin of Engineering Geology and the Environment

Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm

(2014) Mohsen Hajihassani et al.   Bulletin of Engineering Geology and the Environment

Prediction of the unconfined compressive strength of soft rocks: a PSO-based ANN approach

(2014) Edy Tonnizam Mohamad et al.   Bulletin of Engineering Geology and the Environment

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 Novel Approach for Blast-Induced Flyrock Prediction Based on Imperialist Competitive Algorithm and Artificial Neural Network

(2014) Aminaton Marto et al.   TheScientificWorldJOURNAL

Application of genetic programming to predict the uniaxial compressive strength and elastic modulus of carbonate rocks

(2013) Morteza Beiki et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Prediction of uniaxial compressive strength of granitic rocks by various nonlinear tools and comparison of their performances

(2013) N. Yesiloglu-Gultekin et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir

(2012) Mohammad Ali Ahmadi et al.   APPLIED SOFT COMPUTING

Using self-organizing maps and wavelet transforms for space–time pre-processing of satellite precipitation and runoff data in neural network based rainfall–runoff modeling

(2012) Vahid Nourani et al.   JOURNAL OF HYDROLOGY

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

Estimation of elastic constant of rocks using an ANFIS approach

(2011) Rajesh Singh et al.   APPLIED SOFT COMPUTING

Application of artificial bee colony-based neural network in bottom hole pressure prediction in underbalanced drilling

(2011) Rasoul Irani et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Evaluating the strength of intact rocks through genetic programming

(2010) Mojtaba Asadi et al.   APPLIED SOFT COMPUTING

Function identification for the intrinsic strength and elastic properties of granitic rocks via genetic programming (GP)

(2010) Murat Karakus   COMPUTERS & GEOSCIENCES

The Complete ISRM Suggested Methods for Rock Characterization, Testing and Monitoring; 1974-2006

(2009) A. W. Hatheway   ENVIRONMENTAL & ENGINEERING GEOSCIENCE

Evolving neural network using a genetic algorithm for predicting the deformation modulus of rock masses

(2009) Abbas Majdi et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, and ANFIS models

(2008) Işık Yilmaz et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

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

(2007) K. Zorlu et al.   ENGINEERING GEOLOGY

Prediction of compressive and tensile strength of limestone via genetic programming

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