A Review of Artificial Intelligent for Prediction Ground Vibration in Blasting
Review : Teknik Artificial Intelligent dalam Prediksi Ground Vibration pada Peledakan
Abstract
Blasting activities cause ground vibrations that affect the potential for ground displacement in surface mining. That will have an impact on the stability of the slope and environmental problems. Therefore, it is necessary to analyze the prediction ground vibrations measured by peak particle velocity (PPV). Artificial Intelligent (AI) has an important role to overcome the limitations of parameters used, uncertainty, and inaccuracy than conventional methods. AI for prediction ground vibration has grown a lot in recent years. To find out an accurate and effective AI technique, the authors compare several techniques by evaluating their strengths and weaknesses based on literature studies. The ICA-M5Rules model and ICA-ANN model are techniques that have high accuracy and flexibility of use than other presented techniques. And related to the use of parameters, there are other parameters that play an important role which will be reviewed in this journal.
References
[1] Kong K.W.K. Blasting Vibration Assessment of Rock Slopes and A Case Study. Australian Centre for Geomechanics. Slope Stability. 2013.
[2] Siskind DE. Vibrations from blasting. Cleveland, OH: International Society of Explosives Engineers. 2000.
[3] Sudjana N, Ibrahim. Penelitian dan Penilaian Pendidikan. Sinar Baru. Algesindo. 2001
[4] Chandrasekaran M, Muralidhar M, Krishna C.M, Dixit U.S. Application of Soft Computing Techniques in Machining Performance Prediction and Optimization: A Literature Review. Springer. Int J Adv Manuf Technol. 2010; 46:445–464.
[5] Widodo L.E. A Review of Soft Computing Application inn Mineral Resources Engineering. Icemine. IOP Conf. Series: Earth and Environmental Science. 2018; 212: 012067.
[6] Jayadianti H, Cahayadi T.A, Amri N.A, Pitayandanu M.F. Metode Komparasi Artificial Neural Network Pada Prediksi Curah Hujan - Literature Review. Jurnal Tekno Insentif. 2020; 14(2): 48-53.
[7] Khandelwal M, Singh T.N. Evaluation of Blast-Induced Ground Vibration Predictors. Elsevier. Soil Dynamics and Earthquake Engineering. 2007; 27:116-125.
[8] Iphar M, Yavuz M, Ak Hakan. Prediction of Ground Vibrations Resulting from The Blasting Operations in An Open-Pit Mine by Adaptive Neuro-Fuzzy Inference System. Springer. Environ Geol. 2008; 56: 97-107.
[9] Khandelwal M, Kankar P.K, Harsha S.P. Evaluation and Prediction of Blast Induced Ground Vibration Using Support Vector Machine. Elsevier. Mining Science and Technology. 2010; 20: 64-70.
[10] Khandelwal M, Kumar D.L, Yellishetty M. Application of Soft Computing to Predict Blast-Induced Ground Vibration. Springer. Engineering with Computers. 2011; 27:117–125.
[11] Amnieh H.B, Mozdianfard M.R, Siamaki A. Predicting of Blasting Vibrations in Sarcheshmeh Copper Mine by Neural Network. Elsevier. Safety Science. 2010; 48: 319–325.
[12] Khandelwal M. Blast-Induced Ground Vibration Prediction Using Support Vector Machine. Springer. Engineering with Computers. 2011; 27:193–200.
[13] Monjezi M, Ghafurikalajahi M, Bahrami A. Prediction of Blast-Induced Ground Vibration Using Artiï¬cial Neural Networks. Elsevier. Tunnelling and Underground Space Technology. 2011; 26: 46–50.
[14] Fisne A, Kuzu C, Hüdaverdi T. Prediction of Environmental Impacts of Quarry Blasting Operation Using Fuzzy Logic. Springer. Environ Monit Assess. 2011; 174:461–470.
[15] Mohamadnejad M, Gholami R, Ataei M. Comparison of Intelligence Science Techniques and Empirical Methods for Prediction of Blasting Vibrations. Elsevier. Tunnelling and Underground Space Technology. 2012; 28: 238–244.
[16] Ghasemi E, Ataei M, Hashemolhosseini H. Development of A Fuzzy Model for Predicting Ground Vibration Caused by Rock Blasting in Surface Mining. Journal of Vibration and Control. 2013; 19: 755.
[17] Monjezi M, Hasanipanah M, Khandelwal M. Evaluation and Prediction of Blast-Induced Ground Vibration at Shur River Dam, Iran, by Artiï¬cial Neural Network. Springer. Neural Comput & Applic. 2013; 22:1637–1643.
[18] Li D, Yan J,Zhang L. Prediction of Blast-Induced Ground Vibration Using Support Vector Machine by Tunnel Excavation. Trans Tech Publications. Applied Mechanics and Materials. 2012; 170-173: 1414-1418.
[19] Saadat M, Khandelwal M, Monjezi M. An ANN-Based Approach to Predict Blast-Induced Ground Vibration of Gol-E-Gohar Iron Ore Mine, Iran. Elsevier. Journal of Rock Mechanics and Geotechnical Engineering. 2014; 6: 67–76.
[20] Armaghani D.J, Hajihassani M, Mohamad E.T, Marto A, Noorani S.A. Blasting-Induced Flyrock and Ground Vibration Prediction Through An Expert Artificial Neural Network Based on Particle Swarm Optimization. Saudi Society for Geosciences. 2013.
[21] Hajihassani M, Armaghani D.J, Marto A, Mohamad E.T. Ground Vibration Prediction in Quarry Blasting Throughan Artiï¬cial Neural Network Optimized by Imperialist Competitive Algorithm. Springer. Bull Eng Geol Environ. 2014.
[22] Hasanipanah M, Monjezi M, Shahnazar A, Armaghani D.J, Farazmand A. Feasibility of Indirect Determination of Blast Induced Ground Vibration Based on Support Vector Machine. Measurement. 2015; 3472.
[23] Hajihassani M, Armaghani D.J, Monjezi M, Mohamad E.T, Marto A. Blast-Induced Air and Ground Vibration Prediction: A Particle Swarm Optimization-Based Artiï¬cial Neural Network Approach. Springer. Environ Earth Sci. 2015.
[24] Armaghani D.J, Momeni E, Abad S.V.A.N.K, Khandelwal M. Feasibility of ANFIS Model for Prediction of Ground Vibrations Resulting from Quarry Blasting. Springer. Environ Earth Sci. 2015.
[25] Chandar K.R, Sastry V.R, Hegde C. A Critical Comparison of Regression Models and Artiï¬cial Neural Networks to Predict Ground Vibrations. Springer. Geotech Geol Eng. 2016.
[26] Taheri K, Hasanipanah M, Golzar S.B, Abd Majid M.Z. A Hybrid Artificial Bee Colony Algorithm‑Artificial Neural Network For Forecasting The Blast‑Produced Ground Vibration. Springer. Engineering with Computers. 2016.
[27] Kocaslan A, Yüksek G, Gorgulu K, Arpaz E. Evaluation Of Blast-Induced Ground Vibrations In Open-Pit Mines By Using Adaptive Neuro-Fuzzy Inference Systems. Springer. Environ Earth Sci. 2017; 76:57.
[28] Armaghani D.J, Hasanipanah M, Amnieh H.B, Mohamad E.T. Feasibility Of ICA In Approximating Ground Vibration Resulting From Mine Blasting. The Natural Computing Applications Forum. Neural Comput & Applic. 2016.
[29] Hasanipanah M. Faradonbeh R.S, Amnieh H.B, Armaghani D.J, Monjezi M. Forecasting Blast‑Induced Ground Vibration Developing A CART Model. Springer. Engineering with Computers. 2016; DOI 10.1007/s00366-016-0475-9.
[30] Monjezi M, Baghestani M. Faradonbeh R.S, Saghand M.P, Armaghani D.J. Modification And Prediction Of Blast‑Induced Ground Vibrations Based On Both Empirical And Computational Techniques. Springer. Engineering with Computers. 2016.
[31] Hasanipanah M, Naderi R, Kashir J, Noorani S.A, Aaq Qaleh A.Z. Prediction Of Blast‑Produced Ground Vibration Using Particle Swarm Optimization. Springer. Engineering with Computers. 2016.
[32] Amiri M, Amnieh H.B, Hasanipanah M, Khanli L.M. A New Combination Of Artificial Neural Network And K‑Nearest Neighbors Models To Predict Blast‑Induced Ground Vibration And Air‑Overpressure. Springer. Engineering with Computers. 2016.
[33] Hasanipanah M, Golzar S.B, Larki I.A, Maryaki M.Y, Ghahremanians T. Estimation Of Blast-Induced Ground Vibration Through A Soft Computing Framework. Springer. Engineering with Computers. 2017.
[34] Sheykhi H, Bagherpour R, Ghasemi E. Kalhori H. Forecasting Ground Vibration Due To Rock Blasting: A Hybrid Intelligent Approach Using Support Vector Regression And Fuzzy C-Means Clustering. Springer. Engineering with Computers. 2017.
[35] Faradonbeh R.S, Monjezi M. Prediction And Minimization Of Blast-Induced Ground Vibration Using Two Robust Meta-Heuristic Algorithms. Springer. Engineering with Computers. 2017.
[36] Hasanipanah M, Amnieh H.B, Khamesi H, Armaghani D.J, Golzar S.B, Shahnazar A. Prediction Of An Environmental Issue Of Mine Blasting:An Imperialistic Competitive Algorithm-Based Fuzzy System. Islamic Azad University. Int. J. Environ. Sci. Technol. 2017.
[37] Shahnazar A, Rad H.N, Hasanipanah M, Tahir M.M, Armaghani D.J, Ghoroqi M. A New Developed Approach For The Prediction Of Ground Vibration Using A Hybrid PSO-Optimized ANFIS-Based Model. Springer. Environ Earth Sci. 2017; 76:527.
[38] Murmu S, Maheshwari P, Verma H.K. Empirical And Probabilistic Analysis Of Blast-Induced Ground Vibrations. Elsevier. International Journal of Rock Mechanics and Mining Sciences. 2018; 103: 267–274.
[39] Arthur C.K, Temeng V.A, Ziggah Y.Y. Novel Approach To Predicting Blast-Induced Ground Vibration Using Gaussian Process Regression. Springer. Engineering with Computers. 2019.
[40] Behzadafshar K, Mohebbi F, Tehrani M.S, Hasanipanah M, Tabrizi O. Predicting The Ground Vibration Induced By Mine Blasting Using Imperialist Competitive Algorithm. Engineering Computations. 2018.
[41] Nguyen H, Nam Bui X, Moayedi H. A Comparison Of Advanced Computational Models And Experimental Techniques In Predicting Blast‑Induced Ground Vibration In Open‑Pit Coal Mine. Institute of Geophysics. Acta Geophysica. 2019; 67:1025–1037.
[42] Nguyen H, Nam Bui X, Hieu Tran Q, Luan Mai N. A New Soft Computing Model For Estimating And Controlling Blast-Produced Ground Vibration Based On Hierarchical K-Means Clustering And Cubist Algorithms. Elsevier. Applied Soft Computing Journal. 2019; 77: 376–386.
[43] Shang Y, Nguyen H, Nam Bui X, Hieu Tran Q, Moayedi H. A Novel Artiï¬cial Intelligence Approach To Predict Blast- Induced Ground Vibration In Open-Pit Mines Basedon The Firefly Algorithm And Artiï¬cial Neural Network. Natural Resources Research. 2019.
[44] Nguyen H, Nam Bui X, Bac Bul H, Cuong D.T. Developing An Xgboost Model To Predict Blast‑Induced Peak Particle Velocity In An Open‑Pit Mine: A Case Study. Institute of Geophysics. Acta Geophysica. 2019.
[45] Yang H, Hasanipanah M, Tahir M.M, Bui D.T. Intelligent Prediction Of Blasting-Induced Ground Vibration Using ANFIS Optimized By GA And PSO. Natural Resources Research. 2019.
[46] Arthur C.K, Temeng V.A, Ziggah Y.Y. Multivariate Adaptive Regression Splines (MARS) Approach To Blast-Induced Ground Vibration Prediction. International Journal of Mining, Reclamation and Environment, 2019.
[47] Torres N, Reis A, Luiz P.L, Costa J.H.R, Chaves L.S. Neural Network Applied To Blasting Vibration Control Near Communities In A Large-Scale Iron Ore Mine. Springer. Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection. 2019.
[48] Nguyen H, Nam Bui X, Hieu Tran Q, Moayedi H. Predicting Blast‑Induced Peak Particle Velocity Using Bgams, ANN And SVM: A Case Study At The Nui Beo Open‑Pit Coal Mine In Vietnam. Springer. Environmental Earth Sciences. 2019; 78:479.
[49] Nguyen H, Drebenstedt C, Nam Bui X, Bui D.T. Prediction Of Blast-Induced Ground Vibration In An Open- Pit Mine By A Novel Hybrid Model Based On Clusteringand Artiï¬cial Neural Network. Natural Resources Research. 2019.
[50] Fang Q, Nguyen H, Nam Bui X, Thoi T.N. Prediction Of Blast-Induced Ground Vibration In Open-Pit Mines Using A New Technique Based On Imperialist Competitive Algorithm And M5Rules. Natural Resources Research. 2019.
[51] Yang H, Rad H.N, Hasanipanah M, Amnieh H.B, Nekouie A. Prediction Of Vibration Velocity Generated In Mine Blasting Using Support Vector Regression Improved By Optimization Algorithms. Natural Resources Research. 2019.
[52] Chen W, Hasanipanah M, Rad H.N, Armaghani D.J, Tahir M.M. A New Design Of Evolutionary Hybrid Optimization Of SVR Model In Predicting The Blast‑Induced Ground Vibration. Springer. Engineering with Computers. 2019.
[53] Zhang X, Nguyen H, Nam Bui X, Hieu Tran Q, An Nguyen D, Bui D.T, Moayedi H. Novel Soft Computing Model For Predicting Blast-Induced Ground Vibration In Open-Pit Mines Based On Particle Swarm Optimization And XGboost. Natural Resources Research. 2019.
[54] Zhou J, Li C, Koopialipoor M, Armaghani D.J, Pham B.T. Development Of A New Methodology Forestimating The Amount Of PPV In Surface Mines Based On Prediction And Probabilistic Models (GEP- MC). International Journal of Mining, Reclamation and Environment. 2020.
[2] Siskind DE. Vibrations from blasting. Cleveland, OH: International Society of Explosives Engineers. 2000.
[3] Sudjana N, Ibrahim. Penelitian dan Penilaian Pendidikan. Sinar Baru. Algesindo. 2001
[4] Chandrasekaran M, Muralidhar M, Krishna C.M, Dixit U.S. Application of Soft Computing Techniques in Machining Performance Prediction and Optimization: A Literature Review. Springer. Int J Adv Manuf Technol. 2010; 46:445–464.
[5] Widodo L.E. A Review of Soft Computing Application inn Mineral Resources Engineering. Icemine. IOP Conf. Series: Earth and Environmental Science. 2018; 212: 012067.
[6] Jayadianti H, Cahayadi T.A, Amri N.A, Pitayandanu M.F. Metode Komparasi Artificial Neural Network Pada Prediksi Curah Hujan - Literature Review. Jurnal Tekno Insentif. 2020; 14(2): 48-53.
[7] Khandelwal M, Singh T.N. Evaluation of Blast-Induced Ground Vibration Predictors. Elsevier. Soil Dynamics and Earthquake Engineering. 2007; 27:116-125.
[8] Iphar M, Yavuz M, Ak Hakan. Prediction of Ground Vibrations Resulting from The Blasting Operations in An Open-Pit Mine by Adaptive Neuro-Fuzzy Inference System. Springer. Environ Geol. 2008; 56: 97-107.
[9] Khandelwal M, Kankar P.K, Harsha S.P. Evaluation and Prediction of Blast Induced Ground Vibration Using Support Vector Machine. Elsevier. Mining Science and Technology. 2010; 20: 64-70.
[10] Khandelwal M, Kumar D.L, Yellishetty M. Application of Soft Computing to Predict Blast-Induced Ground Vibration. Springer. Engineering with Computers. 2011; 27:117–125.
[11] Amnieh H.B, Mozdianfard M.R, Siamaki A. Predicting of Blasting Vibrations in Sarcheshmeh Copper Mine by Neural Network. Elsevier. Safety Science. 2010; 48: 319–325.
[12] Khandelwal M. Blast-Induced Ground Vibration Prediction Using Support Vector Machine. Springer. Engineering with Computers. 2011; 27:193–200.
[13] Monjezi M, Ghafurikalajahi M, Bahrami A. Prediction of Blast-Induced Ground Vibration Using Artiï¬cial Neural Networks. Elsevier. Tunnelling and Underground Space Technology. 2011; 26: 46–50.
[14] Fisne A, Kuzu C, Hüdaverdi T. Prediction of Environmental Impacts of Quarry Blasting Operation Using Fuzzy Logic. Springer. Environ Monit Assess. 2011; 174:461–470.
[15] Mohamadnejad M, Gholami R, Ataei M. Comparison of Intelligence Science Techniques and Empirical Methods for Prediction of Blasting Vibrations. Elsevier. Tunnelling and Underground Space Technology. 2012; 28: 238–244.
[16] Ghasemi E, Ataei M, Hashemolhosseini H. Development of A Fuzzy Model for Predicting Ground Vibration Caused by Rock Blasting in Surface Mining. Journal of Vibration and Control. 2013; 19: 755.
[17] Monjezi M, Hasanipanah M, Khandelwal M. Evaluation and Prediction of Blast-Induced Ground Vibration at Shur River Dam, Iran, by Artiï¬cial Neural Network. Springer. Neural Comput & Applic. 2013; 22:1637–1643.
[18] Li D, Yan J,Zhang L. Prediction of Blast-Induced Ground Vibration Using Support Vector Machine by Tunnel Excavation. Trans Tech Publications. Applied Mechanics and Materials. 2012; 170-173: 1414-1418.
[19] Saadat M, Khandelwal M, Monjezi M. An ANN-Based Approach to Predict Blast-Induced Ground Vibration of Gol-E-Gohar Iron Ore Mine, Iran. Elsevier. Journal of Rock Mechanics and Geotechnical Engineering. 2014; 6: 67–76.
[20] Armaghani D.J, Hajihassani M, Mohamad E.T, Marto A, Noorani S.A. Blasting-Induced Flyrock and Ground Vibration Prediction Through An Expert Artificial Neural Network Based on Particle Swarm Optimization. Saudi Society for Geosciences. 2013.
[21] Hajihassani M, Armaghani D.J, Marto A, Mohamad E.T. Ground Vibration Prediction in Quarry Blasting Throughan Artiï¬cial Neural Network Optimized by Imperialist Competitive Algorithm. Springer. Bull Eng Geol Environ. 2014.
[22] Hasanipanah M, Monjezi M, Shahnazar A, Armaghani D.J, Farazmand A. Feasibility of Indirect Determination of Blast Induced Ground Vibration Based on Support Vector Machine. Measurement. 2015; 3472.
[23] Hajihassani M, Armaghani D.J, Monjezi M, Mohamad E.T, Marto A. Blast-Induced Air and Ground Vibration Prediction: A Particle Swarm Optimization-Based Artiï¬cial Neural Network Approach. Springer. Environ Earth Sci. 2015.
[24] Armaghani D.J, Momeni E, Abad S.V.A.N.K, Khandelwal M. Feasibility of ANFIS Model for Prediction of Ground Vibrations Resulting from Quarry Blasting. Springer. Environ Earth Sci. 2015.
[25] Chandar K.R, Sastry V.R, Hegde C. A Critical Comparison of Regression Models and Artiï¬cial Neural Networks to Predict Ground Vibrations. Springer. Geotech Geol Eng. 2016.
[26] Taheri K, Hasanipanah M, Golzar S.B, Abd Majid M.Z. A Hybrid Artificial Bee Colony Algorithm‑Artificial Neural Network For Forecasting The Blast‑Produced Ground Vibration. Springer. Engineering with Computers. 2016.
[27] Kocaslan A, Yüksek G, Gorgulu K, Arpaz E. Evaluation Of Blast-Induced Ground Vibrations In Open-Pit Mines By Using Adaptive Neuro-Fuzzy Inference Systems. Springer. Environ Earth Sci. 2017; 76:57.
[28] Armaghani D.J, Hasanipanah M, Amnieh H.B, Mohamad E.T. Feasibility Of ICA In Approximating Ground Vibration Resulting From Mine Blasting. The Natural Computing Applications Forum. Neural Comput & Applic. 2016.
[29] Hasanipanah M. Faradonbeh R.S, Amnieh H.B, Armaghani D.J, Monjezi M. Forecasting Blast‑Induced Ground Vibration Developing A CART Model. Springer. Engineering with Computers. 2016; DOI 10.1007/s00366-016-0475-9.
[30] Monjezi M, Baghestani M. Faradonbeh R.S, Saghand M.P, Armaghani D.J. Modification And Prediction Of Blast‑Induced Ground Vibrations Based On Both Empirical And Computational Techniques. Springer. Engineering with Computers. 2016.
[31] Hasanipanah M, Naderi R, Kashir J, Noorani S.A, Aaq Qaleh A.Z. Prediction Of Blast‑Produced Ground Vibration Using Particle Swarm Optimization. Springer. Engineering with Computers. 2016.
[32] Amiri M, Amnieh H.B, Hasanipanah M, Khanli L.M. A New Combination Of Artificial Neural Network And K‑Nearest Neighbors Models To Predict Blast‑Induced Ground Vibration And Air‑Overpressure. Springer. Engineering with Computers. 2016.
[33] Hasanipanah M, Golzar S.B, Larki I.A, Maryaki M.Y, Ghahremanians T. Estimation Of Blast-Induced Ground Vibration Through A Soft Computing Framework. Springer. Engineering with Computers. 2017.
[34] Sheykhi H, Bagherpour R, Ghasemi E. Kalhori H. Forecasting Ground Vibration Due To Rock Blasting: A Hybrid Intelligent Approach Using Support Vector Regression And Fuzzy C-Means Clustering. Springer. Engineering with Computers. 2017.
[35] Faradonbeh R.S, Monjezi M. Prediction And Minimization Of Blast-Induced Ground Vibration Using Two Robust Meta-Heuristic Algorithms. Springer. Engineering with Computers. 2017.
[36] Hasanipanah M, Amnieh H.B, Khamesi H, Armaghani D.J, Golzar S.B, Shahnazar A. Prediction Of An Environmental Issue Of Mine Blasting:An Imperialistic Competitive Algorithm-Based Fuzzy System. Islamic Azad University. Int. J. Environ. Sci. Technol. 2017.
[37] Shahnazar A, Rad H.N, Hasanipanah M, Tahir M.M, Armaghani D.J, Ghoroqi M. A New Developed Approach For The Prediction Of Ground Vibration Using A Hybrid PSO-Optimized ANFIS-Based Model. Springer. Environ Earth Sci. 2017; 76:527.
[38] Murmu S, Maheshwari P, Verma H.K. Empirical And Probabilistic Analysis Of Blast-Induced Ground Vibrations. Elsevier. International Journal of Rock Mechanics and Mining Sciences. 2018; 103: 267–274.
[39] Arthur C.K, Temeng V.A, Ziggah Y.Y. Novel Approach To Predicting Blast-Induced Ground Vibration Using Gaussian Process Regression. Springer. Engineering with Computers. 2019.
[40] Behzadafshar K, Mohebbi F, Tehrani M.S, Hasanipanah M, Tabrizi O. Predicting The Ground Vibration Induced By Mine Blasting Using Imperialist Competitive Algorithm. Engineering Computations. 2018.
[41] Nguyen H, Nam Bui X, Moayedi H. A Comparison Of Advanced Computational Models And Experimental Techniques In Predicting Blast‑Induced Ground Vibration In Open‑Pit Coal Mine. Institute of Geophysics. Acta Geophysica. 2019; 67:1025–1037.
[42] Nguyen H, Nam Bui X, Hieu Tran Q, Luan Mai N. A New Soft Computing Model For Estimating And Controlling Blast-Produced Ground Vibration Based On Hierarchical K-Means Clustering And Cubist Algorithms. Elsevier. Applied Soft Computing Journal. 2019; 77: 376–386.
[43] Shang Y, Nguyen H, Nam Bui X, Hieu Tran Q, Moayedi H. A Novel Artiï¬cial Intelligence Approach To Predict Blast- Induced Ground Vibration In Open-Pit Mines Basedon The Firefly Algorithm And Artiï¬cial Neural Network. Natural Resources Research. 2019.
[44] Nguyen H, Nam Bui X, Bac Bul H, Cuong D.T. Developing An Xgboost Model To Predict Blast‑Induced Peak Particle Velocity In An Open‑Pit Mine: A Case Study. Institute of Geophysics. Acta Geophysica. 2019.
[45] Yang H, Hasanipanah M, Tahir M.M, Bui D.T. Intelligent Prediction Of Blasting-Induced Ground Vibration Using ANFIS Optimized By GA And PSO. Natural Resources Research. 2019.
[46] Arthur C.K, Temeng V.A, Ziggah Y.Y. Multivariate Adaptive Regression Splines (MARS) Approach To Blast-Induced Ground Vibration Prediction. International Journal of Mining, Reclamation and Environment, 2019.
[47] Torres N, Reis A, Luiz P.L, Costa J.H.R, Chaves L.S. Neural Network Applied To Blasting Vibration Control Near Communities In A Large-Scale Iron Ore Mine. Springer. Proceedings of the 27th International Symposium on Mine Planning and Equipment Selection. 2019.
[48] Nguyen H, Nam Bui X, Hieu Tran Q, Moayedi H. Predicting Blast‑Induced Peak Particle Velocity Using Bgams, ANN And SVM: A Case Study At The Nui Beo Open‑Pit Coal Mine In Vietnam. Springer. Environmental Earth Sciences. 2019; 78:479.
[49] Nguyen H, Drebenstedt C, Nam Bui X, Bui D.T. Prediction Of Blast-Induced Ground Vibration In An Open- Pit Mine By A Novel Hybrid Model Based On Clusteringand Artiï¬cial Neural Network. Natural Resources Research. 2019.
[50] Fang Q, Nguyen H, Nam Bui X, Thoi T.N. Prediction Of Blast-Induced Ground Vibration In Open-Pit Mines Using A New Technique Based On Imperialist Competitive Algorithm And M5Rules. Natural Resources Research. 2019.
[51] Yang H, Rad H.N, Hasanipanah M, Amnieh H.B, Nekouie A. Prediction Of Vibration Velocity Generated In Mine Blasting Using Support Vector Regression Improved By Optimization Algorithms. Natural Resources Research. 2019.
[52] Chen W, Hasanipanah M, Rad H.N, Armaghani D.J, Tahir M.M. A New Design Of Evolutionary Hybrid Optimization Of SVR Model In Predicting The Blast‑Induced Ground Vibration. Springer. Engineering with Computers. 2019.
[53] Zhang X, Nguyen H, Nam Bui X, Hieu Tran Q, An Nguyen D, Bui D.T, Moayedi H. Novel Soft Computing Model For Predicting Blast-Induced Ground Vibration In Open-Pit Mines Based On Particle Swarm Optimization And XGboost. Natural Resources Research. 2019.
[54] Zhou J, Li C, Koopialipoor M, Armaghani D.J, Pham B.T. Development Of A New Methodology Forestimating The Amount Of PPV In Surface Mines Based On Prediction And Probabilistic Models (GEP- MC). International Journal of Mining, Reclamation and Environment. 2020.
Published
2020-10-27
How to Cite
Risaldi Hidayat, Tedy Agung Cahyadi, Eddy Winarno, Singgih Saptono and S. Koesnaryo (2020) “A Review of Artificial Intelligent for Prediction Ground Vibration in Blasting”, ReTII, pp. 187-193. Available at: //journal.itny.ac.id/index.php/ReTII/article/view/2016 (Accessed: 21November2024).
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