Application of soft computing to predict blast-induced ground vibration

Engineering With Computers ◽

10.1007/s00366-009-0157-y ◽

2009 ◽

Vol 27 (2) ◽

pp. 117-125 ◽

Author(s):

Manoj Khandelwal ◽

D. Lalit Kumar ◽

Mohan Yellishetty

Keyword(s):

Soft Computing ◽

Ground Vibration

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

Natural Resources Research ◽

10.1007/s11053-019-09492-7 ◽

2019 ◽

Vol 29 (2) ◽

pp. 711-721 ◽

Author(s):

Xiliang Zhang ◽

Hoang Nguyen ◽

Xuan-Nam Bui ◽

Quang-Hieu Tran ◽

Dinh-An Nguyen ◽

...

Keyword(s):

Particle Swarm Optimization ◽

Soft Computing ◽

Particle Swarm ◽

Ground Vibration ◽

Open Pit ◽

Swarm Optimization ◽

Open Pit Mines ◽

Computing Model

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Estimation of blast-induced ground vibration through a soft computing framework

Engineering With Computers ◽

10.1007/s00366-017-0508-z ◽

2017 ◽

Vol 33 (4) ◽

pp. 951-959 ◽

Author(s):

Mahdi Hasanipanah ◽

Saeid Bagheri Golzar ◽

Iman Abbasi Larki ◽

Masoume Yazdanpanah Maryaki ◽

Tade Ghahremanians

Keyword(s):

Soft Computing ◽

Ground Vibration ◽

Computing Framework

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Soft computing-based technique as a predictive tool to estimate blast-induced ground vibration

Journal of Sustainable Mining ◽

10.46873/2300-3960.1343 ◽

2021 ◽

Vol 18 (4) ◽

Author(s):

Clement Kweku Arthur ◽

Victor Amoako Temeng ◽

Yao Yevenyo Ziggah

Keyword(s):

Soft Computing ◽

Ground Vibration ◽

Predictive Tool

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

Applied Soft Computing ◽

10.1016/j.asoc.2019.01.042 ◽

2019 ◽

Vol 77 ◽

pp. 376-386 ◽

Author(s):

Hoang Nguyen ◽

Xuan-Nam Bui ◽

Quang-Hieu Tran ◽

Ngoc-Luan Mai

Keyword(s):

Soft Computing ◽

Ground Vibration ◽

Computing Model

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Corrigendum to “A new soft computing model for estimating and controlling blast-produced ground vibration based on hierarchical K-means clustering and cubist algorithms” [Appl. Soft Comput. 77 (2019) 376–386]

Applied Soft Computing ◽

10.1016/j.asoc.2021.107123 ◽

2021 ◽

Vol 100 ◽

pp. 107123

Author(s):

Hoang Nguyen ◽

Xuan-Nam Bui ◽

Quang-Hieu Tran ◽

Ngoc-Luan Mai

Keyword(s):

Soft Computing ◽

Ground Vibration ◽

Computing Model

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Soft computing-based technique as a predictive tool to estimate blast-induced ground vibration

Journal of Sustainable Mining ◽

10.46873/2300-3960.1115 ◽

2021 ◽

Vol 18 (4) ◽

Author(s):

Clement Kweku Arthur ◽

Victor Amoako Temeng ◽

Yao Yevenyo Ziggah

Keyword(s):

Soft Computing ◽

Ground Vibration ◽

Predictive Tool

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Soft computing-based technique as a predictive tool to estimate blast-induced ground vibration

Journal of Sustainable Mining ◽

10.1016/j.jsm.2019.10.001 ◽

2019 ◽

Author(s):

Clement Kweku Arthur ◽

Victor Amoako Temeng ◽

Yao Yevenyo Ziggah

Keyword(s):

Soft Computing ◽

Ground Vibration ◽

Predictive Tool

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Soft Computing in Electromagnetics

10.1017/cbo9781316402924 ◽

2015 ◽

Author(s):

Balamati Choudhury ◽

Rakesh Mohan Jha

Keyword(s):

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Soft Computing: Potentials and Applications in Oil Exploration

International Academy of Engineers (IA-E) March 14-15, 2015 Dubai (UAE) ◽

10.15242/iae.iae0315010 ◽

2015 ◽

Keyword(s):

Soft Computing ◽

Oil Exploration

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MACHINE LEARNING FOR SOFTWARE

International Conference on Technics Technologies and Education ◽

10.15547/ictte.2019.04.061 ◽

2019 ◽

pp. 251-255

Author(s):

Shafagat Mahmudova

Keyword(s):

Machine Learning ◽

Neural Networks ◽

Soft Computing ◽

Computing Technology

The study machine learning for software based on Soft Computing technology. It analyzes Soft Computing components. Their use in software, their advantages and challenges are studied. Machine learning and its features are highlighted. The functions and features of neural networks are clarified, and recommendations were given.

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