Settlement prediction of the rock-socketed piles through a new technique based on gene expression programming

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

Modeling deformation modulus of a stratified sedimentary rock mass using neural network, fuzzy inference and genetic programming

(2016) S. Alemdag et al.   ENGINEERING GEOLOGY

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

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

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

Airblast prediction through a hybrid genetic algorithm-ANN model

(2016) Danial Jahed Armaghani et al.   NEURAL COMPUTING & APPLICATIONS

Application of Artificial Neural Network for Predicting Shaft and Tip Resistances of Concrete Piles

(2015) Ehsan Momeni et al.   Earth Sciences Research Journal

Evaluation and prediction of flyrock resulting from blasting operations using empirical and computational methods

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

Several non-linear models in estimating air-overpressure resulting from mine blasting

(2015) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Determination of the ultimate limit states of shallow foundations using gene expression programming (GEP) approach

(2015) A. Tahmasebi poor et al.   SOILS AND FOUNDATIONS

Estimation of tunnelling-induced settlement by modern intelligent methods

(2015) Kaveh Ahangari et al.   SOILS AND FOUNDATIONS

A new approach for predicting and collaborative evaluating the cutting force in face milling based on gene expression programming

(2013) Yang Yang et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Prediction of peak ground acceleration by genetic expression programming and regression: A comparison using likelihood-based measure

(2012) Hamza Güllü   ENGINEERING GEOLOGY

Prediction of Backbreak in Open-Pit Blasting Operations Using the Machine Learning Method

(2012) Manoj Khandelwal et al.   ROCK MECHANICS AND ROCK ENGINEERING

Estimation of elastic constant of rocks using an ANFIS approach

(2011) Rajesh Singh et al.   APPLIED SOFT COMPUTING

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

(2011) Ali Mollahasani et al.   COMPUTERS AND GEOTECHNICS

Predicting axial capacity of driven piles in cohesive soils using intelligent computing

(2011) Iyad Alkroosh et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

A new multi-gene genetic programming approach to non-linear system modeling. Part II: geotechnical and earthquake engineering problems

(2011) Amir Hossein Gandomi et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of rock fragmentation due to blasting using artificial neural network

(2010) A. Bahrami et al.   ENGINEERING WITH COMPUTERS

Soil liquefaction modeling by Genetic Expression Programming and Neuro-Fuzzy

(2010) C. Kayadelen   EXPERT SYSTEMS WITH APPLICATIONS

Prediction of pile settlement using artificial neural networks based on standard penetration test data

(2009) F. Pooya Nejad et al.   COMPUTERS AND GEOTECHNICS

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

Prediction of blast-induced ground vibration using artificial neural network

(2009) Manoj Khandelwal et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

High Energy Physics event selection with Gene Expression Programming

(2007) Liliana Teodorescu et al.   COMPUTER PHYSICS COMMUNICATIONS

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