Predicting Blast-Induced Ground Vibration in Open-Pit Mines Using Vibration Sensors and Support Vector Regression-Based Optimization Algorithms

Design of neural network predictive controller based on imperialist competitive algorithm for automatic voltage regulator

(2019) M. Elsisi   NEURAL COMPUTING & APPLICATIONS

Prediction of Blast-Induced Ground Vibration in an Open-Pit Mine by a Novel Hybrid Model Based on Clustering and Artificial Neural Network

(2019) Hoang Nguyen et al.   Natural Resources Research

Prediction of Blast-induced Air Over-pressure in Open-Pit Mine: Assessment of Different Artificial Intelligence Techniques

(2019) Xuan-Nam Bui et al.   Natural Resources Research

Optimization of ANFIS with GA and PSO estimating α ratio in driven piles

(2019) Hossein Moayedi et al.   ENGINEERING WITH COMPUTERS

Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study

(2019) Hoang Nguyen et al.   Acta Geophysica

A new soft computing model for estimating and controlling blast-produced ground vibration based on Hierarchical K-means clustering and Cubist algorithms

(2019) Hoang Nguyen et al.   APPLIED SOFT COMPUTING

Combination of Support Vector Machine and K-Fold cross validation to predict compressive strength of concrete in marine environment

(2019) Hao Ling et al.   CONSTRUCTION AND BUILDING MATERIALS

Optimizing Levenberg–Marquardt backpropagation technique in predicting factor of safety of slopes after two-dimensional OptumG2 analysis

(2019) Xuan-Nam Bui et al.   ENGINEERING WITH COMPUTERS

Proposing a novel predictive technique using M5Rules-PSO model estimating cooling load in energy-efficient building system

(2019) Hoang Nguyen et al.   ENGINEERING WITH COMPUTERS

Optimizing ANN models with PSO for predicting short building seismic response

(2019) Hoang Nguyen et al.   ENGINEERING WITH COMPUTERS

Novel Soft Computing Model for Predicting Blast-Induced Ground Vibration in Open-Pit Mines Based on Particle Swarm Optimization and XGBoost

(2019) Xiliang Zhang et al.   Natural Resources Research

Estimating PM10 Concentration from Drilling Operations in Open-Pit Mines Using an Assembly of SVR and PSO

(2019) Xuan-Nam Bui et al.   Applied Sciences-Basel

Computational Intelligence Model for Estimating Intensity of Blast-Induced Ground Vibration in a Mine Based on Imperialist Competitive and Extreme Gradient Boosting Algorithms

(2019) Ziwei Ding et al.   Natural Resources Research

Feasibility of the indirect determination of blast-induced rock movement based on three new hybrid intelligent models

(2019) Zhi Yu et al.   ENGINEERING WITH COMPUTERS

A Novel Artificial Intelligence Technique to Estimate the Gross Calorific Value of Coal Based on Meta-Heuristic and Support Vector Regression Algorithms

(2019) Hoang-Bac Bui et al.   Applied Sciences-Basel

Toward a State-of-the-Art of Fly-Rock Prediction Technology in Open-Pit Mines Using EANNs Model

(2019) Hoang Nguyen et al.   Applied Sciences-Basel

Estimation of Blast-Induced Air Overpressure in Quarry Mines Using Cubist-Based Genetic Algorithm

(2019) Qiancheng Fang et al.   Natural Resources Research

Prediction of Blast-Induced Ground Vibration in Open-Pit Mines Using a New Technique Based on Imperialist Competitive Algorithm and M5Rules

(2019) Qiancheng Fang et al.   Natural Resources Research

Modelling and optimization of ultimate bearing capacity of strip footing near a slope by soft computing methods

(2018) Hossein Moayedi et al.   APPLIED SOFT COMPUTING

Combining Support Vector Machine with Genetic Algorithms to optimize investments in Forex markets with high leverage

(2018) Bernardo Jubert de Almeida et al.   APPLIED SOFT COMPUTING

Predicting the ground vibration induced by mine blasting using imperialist competitive algorithm

(2018) Katayoun Behzadafshar et al.   ENGINEERING COMPUTATIONS

Civil engineering supervision video retrieval method optimization based on spectral clustering and R-tree

(2018) Shifeng Wu et al.   NEURAL COMPUTING & APPLICATIONS

Artificial intelligence design charts for predicting friction capacity of driven pile in clay

(2018) Hossein Moayedi et al.   NEURAL COMPUTING & APPLICATIONS

Applicability of a CPT-Based Neural Network Solution in Predicting Load-Settlement Responses of Bored Pile

(2018) Hossein Moayedi et al.   International Journal of Geomechanics

Development of GA-based models for simulating the ground vibration in mine blasting

(2018) Erlin Tian et al.   ENGINEERING WITH COMPUTERS

A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam

(2018) Hoang Nguyen et al.   NEURAL COMPUTING & APPLICATIONS

An integrated particle swarm optimization approach hybridizing a new self-adaptive particle swarm optimization with a modified differential evolution

(2018) Biwei Tang et al.   NEURAL COMPUTING & APPLICATIONS

Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest

(2018) Hoang Nguyen et al.   Natural Resources Research

Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil

(2017) Hossein Moayedi et al.   ENGINEERING WITH COMPUTERS

Prediction and minimization of blast-induced ground vibration using two robust meta-heuristic algorithms

(2017) Roohollah Shirani Faradonbeh et al.   ENGINEERING WITH COMPUTERS

Prediction of an environmental issue of mine blasting: an imperialistic competitive algorithm-based fuzzy system

(2017) M. Hasanipanah et al.   International Journal of Environmental Science and Technology

An artificial neural network approach for under-reamed piles subjected to uplift forces in dry sand

(2017) Hossein Moayedi et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of blast-produced ground vibration using particle swarm optimization

(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

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

Utilizing gradient boosted machine for the prediction of damage to residential structures owing to blasting vibrations of open pit mining

(2016) Jian Zhou et al.   JOURNAL OF VIBRATION AND CONTROL

Particle swarm optimization approach for forecasting backbreak induced by bench blasting

(2016) Ebrahim Ghasemi   NEURAL COMPUTING & APPLICATIONS

Haulage system selection for open pit mines using fuzzy MCDM and the view on energy saving

(2016) Mohammad Javad Rahimdel et al.   NEURAL COMPUTING & APPLICATIONS

A hybrid intelligent model combining ANN and imperialist competitive algorithm for prediction of corrosion rate in 3C steel under seawater environment

(2016) Amin Zadeh Shirazi et al.   NEURAL COMPUTING & APPLICATIONS

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

(2015) Mohsen Hajihassani et al.   Environmental Earth Sciences

Proximate analysis based prediction of gross calorific value of coals: A comparison of support vector machine, alternating conditional expectation and artificial neural network

(2015) Qihong Feng et al.   FUEL PROCESSING TECHNOLOGY

Neural network ensemble-based parameter sensitivity analysis in civil engineering systems

(2015) M. S. Cao et al.   NEURAL COMPUTING & APPLICATIONS

A survey on the Imperialist Competitive Algorithm metaheuristic: Implementation in engineering domain and directions for future research

(2014) Seyedmohsen Hosseini et al.   APPLIED SOFT COMPUTING

Support vector machine applications in the field of hydrology: A review

(2014) Sujay Raghavendra. N et al.   APPLIED SOFT COMPUTING

Ground vibration prediction in quarry blasting through an artificial neural network optimized by imperialist competitive algorithm

(2014) Mohsen Hajihassani et al.   Bulletin of Engineering Geology and the Environment

Global sensitivity analysis with dependence measures

(2014) Sebastien Da Veiga   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Modeling of EDM responses by support vector machine regression with parameters selected by particle swarm optimization

(2013) Ushasta Aich et al.   APPLIED MATHEMATICAL MODELLING

Comparative study of cognitive systems for ground vibration measurements

(2012) A. K. Verma et al.   NEURAL COMPUTING & APPLICATIONS

Evaluation of flyrock phenomenon due to blasting operation by support vector machine

(2011) Hasel Amini et al.   NEURAL COMPUTING & APPLICATIONS

Prediction of blast-induced ground vibration using artificial neural network

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