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

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

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

Neuro-fuzzy technique to predict air-overpressure induced by blasting

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

Prediction and optimization of back-break and rock fragmentation using an artificial neural network and a bee colony algorithm

(2015) Ebrahim Ebrahimi et al.   Bulletin of Engineering Geology and the Environment

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

(2015) Behrouz Gordan et al.   ENGINEERING WITH COMPUTERS

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

A combination of the ICA-ANN model to predict air-overpressure resulting from blasting

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

Blast-induced air and ground vibration prediction: a particle swarm optimization-based artificial neural network approach

(2015) Mohsen Hajihassani et al.   Environmental Earth Sciences

Prediction of blast-induced air overpressure: a hybrid AI-based predictive model

(2015) Danial Jahed Armaghani et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Feasibility of indirect determination of blast induced ground vibration based on support vector machine

(2015) Mahdi Hasanipanah 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

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

Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization

(2014) M. Hajihassani et al.   APPLIED ACOUSTICS

An assessment on producing synthetic samples by fuzzy C-means for limited number of data in prediction models

(2014) E.A. Sezer et al.   APPLIED SOFT COMPUTING

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 bearing capacity of circular footings on soft clay stabilized with granular soil

(2013) Murat Ornek et al.   SOILS AND FOUNDATIONS

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

(2012) Nurcihan Ceryan et al.   Environmental Earth Sciences

Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network

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

Statistical source identification of major and trace elements in groundwater downward the tailings dam of Miduk Copper Complex, Kerman, Iran

(2011) Maryam Kargar et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Prediction of the strength of mineral admixture concrete using multivariable regression analysis and an artificial neural network

(2011) U. Atici   EXPERT SYSTEMS WITH APPLICATIONS

Performance of fuzzy logic and artificial neural network in prediction of ground and air vibrations

(2011) Mostafa Tantawy Mohamed   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Prediction of near field overpressure from quarry blasting

(2010) P. Segarra et al.   APPLIED ACOUSTICS

New approaches to determine the ultimate bearing capacity of shallow foundations based on artificial neural networks and ant colony optimization

(2010) Adem Kalinli et al.   ENGINEERING GEOLOGY

Prediction of the air wave due to blasting inside tunnels: Approximation to a ‘phonometric curve’

(2010) Rafael Rodríguez et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Prediction of blast-induced air overpressure using support vector machine

(2009) Manoj Khandelwal et al.   Arabian Journal of Geosciences

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

Simultaneous prediction of fragmentation and flyrock in blasting operation using artificial neural networks

(2009) M. Monjezi et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Operational and geological parameters in the assessing blast induced airblast-overpressure in quarries

(2008) C. Kuzu et al.   APPLIED ACOUSTICS

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

(2007) K. Zorlu et al.   ENGINEERING GEOLOGY

An adaptive neuro-fuzzy inference system for bridge risk assessment

(2007) Y WANG et al.   EXPERT SYSTEMS WITH APPLICATIONS

The importance of site-specific characters in prediction models for blast-induced ground vibrations

(2007) Cengiz Kuzu   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING