Prediction of air-overpressure caused by mine blasting using a new hybrid PSO–SVR model

Rock strength assessment based on regression tree technique

(2016) Maybelle Liang et al.   ENGINEERING WITH COMPUTERS

A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure

(2016) Maryam Amiri et al.   ENGINEERING WITH COMPUTERS

Estimation of air-overpressure produced by blasting operation through a neuro-genetic technique

(2016) Edy Tonnizam Mohamad et al.   Environmental Earth Sciences

A hybrid PSO optimized SVM-based model for predicting a successful growth cycle of the Spirulina platensis from raceway experiments data

(2016) P.J. García Nieto et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

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

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

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

(2015) Behrouz Gordan 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

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

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

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

Hybrid PSO–SVM-based method for forecasting of the remaining useful life for aircraft engines and evaluation of its reliability

(2015) P.J. García Nieto et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

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

Stochastic Modeling Approach for the Evaluation of Backbreak due to Blasting Operations in Open Pit Mines

(2013) Mehmet Sari et al.   ROCK MECHANICS AND ROCK ENGINEERING

Conjunctive Use of Surface Water and Groundwater: Application of Support Vector Machines (SVMs) and Genetic Algorithms

(2013) Hamid R. Safavi et al.   WATER RESOURCES MANAGEMENT

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

Comparative study of cognitive systems for ground vibration measurements

(2012) A. K. Verma et al.   NEURAL COMPUTING & 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 flyrock and backbreak in open pit blasting operation: a neuro-genetic approach

(2010) M. Monjezi et al.   Arabian Journal of Geosciences

Intelligent systems for ground vibration measurement: a comparative study

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

Sensitivity of total charge and maximum charge per delay on ground vibration

(2010) T. N. Singh et al.   Geomatics Natural Hazards & Risk

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