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

Artificial neural networks versus gene expression programming for estimating reference evapotranspiration in arid climate

(2016) Mohamed A. Yassin et al.   AGRICULTURAL WATER MANAGEMENT

Indirect estimation of compressive and shear strength from simple index tests

(2016) P. K. Singh et al.   ENGINEERING WITH COMPUTERS

Modification and prediction of blast-induced ground vibrations based on both empirical and computational techniques

(2016) M. Monjezi et al.   ENGINEERING WITH COMPUTERS

A new model based on gene expression programming to estimate air flow in a single rock joint

(2016) Manoj Khandelwal et al.   Environmental Earth Sciences

Prediction of ground vibration due to quarry blasting based on gene expression programming: a new model for peak particle velocity prediction

(2016) R Shirani Faradonbeh et al.   International Journal of Environmental Science and Technology

Prediction of compressive strength and elastic modulus of carbonate rocks

(2016) N. Madhubabu et al.   MEASUREMENT

New Gene Expression Programming models for normalized shear modulus and damping ratio of sands

(2015) Amin Keshavarz et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Prediction of seismic slope stability through combination of particle swarm optimization and neural network

(2015) Behrouz Gordan 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

Estimation of soil cation exchange capacity using Genetic Expression Programming (GEP) and Multivariate Adaptive Regression Splines (MARS)

(2015) S. Emamgolizadeh et al.   JOURNAL OF HYDROLOGY

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

(2015) Ehsan Momeni et al.   MEASUREMENT

Developing a hybrid PSO–ANN model for estimating the ultimate bearing capacity of rock-socketed piles

(2015) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

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

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

The determination of uniaxial compressive strength from point load strength for pyroclastic rocks

(2014) S. Kahraman   ENGINEERING GEOLOGY

Prediction of unconfined compressive strength of carbonate rocks using artificial neural networks

(2012) Nurcihan Ceryan et al.   Environmental Earth Sciences

Backbreak prediction in the Chadormalu iron mine using artificial neural network

(2012) M. Monjezi et al.   NEURAL COMPUTING & APPLICATIONS

An intelligent approach to predict unconfined compressive strength of rock surrounding access tunnels in longwall coal mining

(2012) Mohammad Rezaei et al.   NEURAL COMPUTING & APPLICATIONS

A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks

(2012) Rajesh Singh et al.   NEURAL COMPUTING & APPLICATIONS

Estimation of elastic constant of rocks using an ANFIS approach

(2011) Rajesh Singh et al.   APPLIED SOFT COMPUTING

Estimation of uniaxial compressive strength based on P-wave and Schmidt hammer rebound using statistical method

(2011) Behnaz Minaeian et al.   Arabian Journal of Geosciences

Empirical modeling of plate load test moduli of soil via gene expression programming

(2011) Ali Mollahasani et al.   COMPUTERS AND GEOTECHNICS

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

Intelligent systems for ground vibration measurement: a comparative study

(2010) A. K. Verma et al.   ENGINEERING WITH COMPUTERS

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

Correlating static properties of coal measures rocks with P-wave velocity

(2009) Manoj Khandelwal et al.   INTERNATIONAL JOURNAL OF COAL GEOLOGY

Estimation of uniaxial compressive strength from point load strength, Schmidt hardness and P-wave velocity

(2008) İbrahim Çobanoğlu et al.   Bulletin of Engineering Geology and the Environment

Prediction of compressive and tensile strength of Gaziantep basalts via neural networks and gene expression programming

(2008) Hanifi Çanakcı et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of compressive and tensile strength of limestone via genetic programming

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