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

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Trivedi R, Singh TN, Gupta N (2015) Prediction of blast-induced flyrock in opencast mines using ANN and ANFIS. Geotech Geol Eng. https://doi.org/10.1007/s10706-015-9869-5

Hasanipanah M, Jahed Armaghani D, Bakhshandeh Amnieh H, Majid MZA, Tahir MMD (2016) Application of PSO to develop a powerful equation for prediction of flyrock due to blasting. Neural Comput Appl. https://doi.org/10.1007/s00521-016-2434-1

Hasanipanah M, Jahed Armaghani D, Monjezi M, Shams S (2016) Risk assessment and prediction of rock fragmentation produced by blasting operation: a rock engineering system. Environ Earth Sci 75:808

Hasanipanah M, Bakhshandeh Amnieh H, Arab H, Zamzam MS (2016) Feasibility of PSO–ANFIS model to estimate rock fragmentation produced by mine blasting. Neural Comput Appl. https://doi.org/10.1007/s00521-016-2746-1

Amiri M, Bakhshandeh Amnieh H, Hasanipanah M, Khanli LM (2016) A new combination of artificial neural network and K-nearest neighbors models to predict blast-induced ground vibration and air-overpressure. Eng Comput. https://doi.org/10.1007/s00366-016-0442-5

Hasanipanah M, Monjezi M, Shahnazar A, Jahed Armaghani D, Farazmand A (2015) Feasibility of indirect determination of blast induced ground vibration based on support vector machine. Measurement 75:289–297

Hasanipanah M, Shahnazar M, Arab H, Bagheri Golzar S, Amiri M (2016) Developing a new hybrid‑AI model to predict blast‑induced backbreak. Eng Comput. https://doi.org/10.1007/s00366-016-0477-7

Jahed Armaghani D, Hasanipanah M, Mohamad ET (2016) A combination of the ICA-ANN model to predict air-overpressure resulting from blasting. Eng Comput 32(1):155–171

Singh TN, Singh R, Singh B, Sharma LK, Singh R, Ansari MK (2016) Investigations and stability analyses of Malin village landslide of Pune district, Maharashtra, India. Nat Hazards 81:2019–2030

Sharma LK, Umrao RK, Singh R, Ahmad M, Singh TN (2017) Stability Investigation of hill cut soil slopes along National Highway 222 at Malshej Ghat, Maharashtra. J Geol Soc India 89(2):165–174

Sharma LK, Umrao RK, Singh R, Ahmad M, Singh TN (2017) Geotechnical characterization of road cut hill slope forming unconsolidated geo-materials: a case study. Geotech Geol Eng 35:503–515. https://doi.org/10.1007/s10706-016-0093-8

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Khandelwal M, Singh TN (2007) Evaluation of blast-induced ground vibration predictors. Soil Dyn Earthq Eng 27:116–125

Hasanipanah M, Shirani Faradonbeh R, Bakhshandeh Amnieh H, Jahed Armaghani D, Monjezi M (2016) Forecasting blast‑induced ground vibration developing a CART model. Eng Comput. https://doi.org/10.1007/s00366-016-0475-9

Fouladgar N, Hasanipana M, Bakhshandeh Amnieh H (2016) Application of cuckoo search algorithm to estimate peak particle velocity in mine blasting. Eng Comput. https://doi.org/10.1007/s00366-016-0463-0

Singh TN, Singh V (2005) An intelligent approach to prediction and control ground vibration in mines. Geotech Geolog Eng 23:249–262

Singh TN, Verma AK (2010) Sensitivity of total charge and maximum charge per delay on ground vibration. Geomat Nat Hazards Risk 1(3):259–272

Verma AK, Singh TN (2013) Comparative study of cognitive systems for ground vibration measurements. Neural Comput Appl 22:341–1643

Monjezi M, Ghafurikalajahi M, Bahrami A (2011) Prediction of blast induced ground vibration using artificial neural networks. Tunn Undergr Space Technol 26:46–50

Monjezi M, Hasanipanah M, Khandelwal M (2013) Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network. Neural Comput Appl 22:1637–1643

Hasanipanah M, Shahnazar A, Bakhshandeh Amnieh H, Jahed Armaghani D (2016) Prediction of air-overpressure caused by mine blasting using a new hybrid PSO–SVR model. Eng Comput. https://doi.org/10.1007/s00366-016-0453-2

Jahed Armaghani D, Momeni E, Alavi Nezhad Khalil Abad SV, Khandelwal M (2015) Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting. Environ Earth Sci. https://doi.org/10.1007/s12665-015-4305-y

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Ghasemi E, Ataei M, Hashemolhosseini H (2012) Development of a fuzzy model for predicting ground vibration caused by rock blasting in surface mining. J Vib Control 19(5):755–770

Sharma LK, Vishal V, Singh TN (2017) Developing novel models using neural networks and fuzzy systems for the estimation of strength of rocks from key geomechanical properties. Measurement 102:158–169

Singh R, Umrao RK, Ahmad M, Ansari MK, Sharma LK, Singh TN (2017) Prediction of geomechanical parameters using soft computing and multiple regression approach. Measurement 99:108–119

Sharma LK, Vishal V, Singh TN (2017) Predicting CO2 permeability of bituminous coal using statistical and adaptive neuro-fuzzy analysis. J Nat Gas Sci Eng. https://doi.org/10.1016/j.jngse.2017.02.037

Sharma LK, Singh R, Umrao RK, Sharma KM, Singh TN (2017) Evaluating the modulus of elasticity of soil using soft computing system. Eng Comput 33(3):497–507

Sharma LK, Singh TN (2017) Regression based models for the prediction of unconfined compressive strength of artificially structured soil. Eng Comput. https://doi.org/10.1007/s00366-017-0528-8

Ahmad M, Ansari MK, Sharma LK, Singh R, Singh TN (2017) Correlation between strength and durability indices of rocks-soft computing approach. Proc Eng 191:458–466

Madandoust R, Bungey JH, Ghavidel R (2012) Prediction of the concrete compressive strength by means of core testing using GMDH-type neural network and ANFIS models. Comput Mater Sci 51(1):261–272

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Singh TN, Dontha LK, BhardwajV (2008) Study into blast vibration and frequency using ANFIS and MVRA. Min Technol 117:116–121

Jahed Armaghani D, Hajihassani M, Mohamad ET, Marto A, Noorani SA (2014) Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization. Arab J Geosci 7(12):5383–5396

Taheri K, Hasanipanah M, Bagheri Golzar S, Abd Majid MZ (2017) A hybrid artificial bee colony algorithm-artificial neural network for forecasting the blast-produced ground vibration. Eng Comput. https://doi.org/10.1007/s00366-016-0497-3

Hasanipanah M, Jahed Armaghani D, Khamesi H, Bakhshandeh Amnieh H, Ghoraba S (2015) Several non-linear models in estimating air-overpressure resulting from mine blasting. Eng Comput. https://doi.org/10.1007/s00366-015-0425-y

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Shirani Faradonbeh R, Jahed Armaghani D, Abd Majid MZ, Tahir MMD, Ramesh Murlidhar B, Monjezi M, Wong HM (2016) Prediction of ground vibration due to quarry blasting based on gene expression programming: a new model for peak particle velocity prediction. Int J Environ Sci Technol. https://doi.org/10.1007/s13762-016-0979-2

Jahed Armaghani D, Hajihassani M, Monjezi M, Mohamad ET, Marto A, Moghaddam MR (2015) Application of two intelligent systems in predicting environmental impacts of quarry blasting. Arab J Geosci 8:9647–9665

Ghoraba S, Monjezi M, Talebi N, Jahed Armaghani D, Moghaddam MR (2016) Estimation of ground vibration produced by blasting operations through intelligent and empirical models. Environ Earth Sci 75:1137

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