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

Zhang, Xiliang; Nguyen, Hoang An; Bui, Xuan-Nam; Tran, Quang-Hieu; Nguyen, Dinh-An; Bui, Dieu Tien; Moayedi, Hossein

doi:10.1007/s11053-019-09492-7

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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

Author(s): Xiliang Zhang , Hoang Nguyen , Xuan-Nam Bui , Quang-Hieu Tran , Dinh-An Nguyen , Dieu Tien Bui , Hossein Moayedi

Publication date (Electronic): May 4 2019

Journal: Natural Resources Research

Publisher: Springer Science and Business Media LLC

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Stochastic gradient boosting

Jerome Friedman (2002)

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A new optimizer using particle swarm theory

R Eberhart, J. Kennedy (2025)

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Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)

Jerome Friedman, Trevor J. Hastie, Robert Tibshirani (2000)

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Title: Natural Resources Research

Abbreviated Title: Nat Resour Res

Publisher: Springer Science and Business Media LLC

ISSN (Print): 1520-7439

ISSN (Electronic): 1573-8981

Publication date Created: April 2020

Publication date (Electronic): May 4 2019

Publication date (Print): April 2020

Volume: 29

Issue: 2

Pages: 711-721

Article

DOI: 10.1007/s11053-019-09492-7

SO-VID: 53e0d8ea-55b6-4d8b-9161-2805b2708e16

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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

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Recursive Rule based Visual Categorization

Most cited references 55

Stochastic gradient boosting

A new optimizer using particle swarm theory

Additive logistic regression: a statistical view of boosting (With discussion and a rejoinder by the authors)

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