Proposing of a new soft computing-based model to predict peak particle velocity induced by blasting

Regression-based models for the prediction of unconfined compressive strength of artificially structured soil

(2017) L. K. Sharma et al.   ENGINEERING WITH COMPUTERS

Stability investigation of hill cut soil slopes along National highway 222 at Malshej Ghat, Maharashtra

(2017) L. K. Sharma et al.   JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA

Prediction of geomechanical parameters using soft computing and multiple regression approach

(2017) Rajesh Singh et al.   MEASUREMENT

Developing novel models using neural networks and fuzzy systems for the prediction of strength of rocks from key geomechanical properties

(2017) L.K. Sharma et al.   MEASUREMENT

Dry unit weight of compacted soils prediction using GMDH-type neural network

(2017) Mahmoud Hassanlourad et al.   European Physical Journal Plus

Predicting CO 2 permeability of bituminous coal using statistical and adaptive neuro-fuzzy analysis

(2017) L.K. Sharma et al.   Journal of Natural Gas Science and Engineering

A hybrid switching predictive controller with proportional integral derivative gains and GMDH neural representation of automotive engines for coldstart emission reductions

(2016) Ahmad Mozaffari et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Developing a new hybrid-AI model to predict blast-induced backbreak

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

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

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration

(2016) Khalil Taheri et al.   ENGINEERING WITH COMPUTERS

Forecasting blast-induced ground vibration developing a CART model

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting

(2016) Nazanin Fouladgar et al.   ENGINEERING WITH COMPUTERS

Evaluating the modulus of elasticity of soil using soft computing system

(2016) L. K. Sharma 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

Risk assessment and prediction of rock fragmentation produced by blasting operation: a rock engineering system

(2016) Mahdi Hasanipanah et al.   Environmental Earth Sciences

Estimation of ground vibration produced by blasting operations through intelligent and empirical models

(2016) S. Ghoraba 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

Investigations and stability analyses of Malin village landslide of Pune district, Maharashtra, India

(2016) T. N. Singh et al.   NATURAL HAZARDS

Application of PSO to develop a powerful equation for prediction of flyrock due to blasting

(2016) Mahdi Hasanipanah et al.   NEURAL COMPUTING & APPLICATIONS

Feasibility of PSO–ANFIS model to estimate rock fragmentation produced by mine blasting

(2016) Mahdi Hasanipanah et al.   NEURAL COMPUTING & APPLICATIONS

Application of two intelligent systems in predicting environmental impacts of quarry blasting

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

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

Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting

(2015) Danial Jahed Armaghani et al.   Environmental Earth Sciences

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

(2015) Mahdi Hasanipanah et al.   MEASUREMENT

Prediction of recompression index using GMDH-type neural network based on geotechnical soil properties

(2015) Afshin Kordnaeij et al.   SOILS AND FOUNDATIONS

Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization

(2013) D. Jahed Armaghani et al.   Arabian Journal of Geosciences

Development of a fuzzy model for predicting ground vibration caused by rock blasting in surface mining

(2012) Ebrahim Ghasemi et al.   JOURNAL OF VIBRATION AND CONTROL

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

Prediction of the concrete compressive strength by means of core testing using GMDH-type neural network and ANFIS models

(2011) Rahmat Madandoust et al.   COMPUTATIONAL MATERIALS SCIENCE

Prediction of blast-induced ground vibration using artificial neural networks

(2010) M. Monjezi et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

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

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