Support vector regression optimized by black widow optimization algorithm combining with feature selection by MARS for mining blast vibration prediction

G Xu, X Wang - Measurement, 2023 - Elsevier
Ground vibration induced by mine blasting is the most significant adverse effect on nearby
residents and surroundings. Accurate prediction of blasting vibration using limited monitor …

Prediction of ground vibration intensity in mine blasting using the novel hybrid MARS–PSO–MLP model

H Nguyen, XN Bui, QH Tran, HA Nguyen… - Engineering with …, 2022 - Springer
The present paper's primary goal is to propose a novel hybrid model with high reliability to
predict peak particle velocity (PPV)—a ground vibration evaluation unit in mine blasting …

Prediction and optimization of blasting-induced ground vibration in open-pit mines using intelligent algorithms

J Guo, P Zhao, P Li - Applied Sciences, 2023 - mdpi.com
Prediction and parameter optimization are effective methods for mine personnel to control
blast-induced ground vibration. However, the challenge of effective prediction and …

Predicting the blast-induced vibration velocity using a bagged support vector regression optimized with firefly algorithm

X Ding, M Hasanipanah, H Nikafshan Rad… - Engineering with …, 2021 - Springer
Ground vibration is the most detrimental effect induced by blasting in surface mines. This
study presents an improved bagged support vector regression (BSVR) combined with the …

A new developed approach for the prediction of ground vibration using a hybrid PSO-optimized ANFIS-based model

A Shahnazar, H Nikafshan Rad… - Environmental earth …, 2017 - Springer
Ground vibration is one of the common environmental effects of blasting operation in mining
industry, and it may cause damage to the nearby structures and the surrounding residents …

Evaluation and Prediction of Blast-Induced Ground Vibrations: A Gaussian Process Regression (GPR) Approach

Y Fissha, H Ikeda, H Toriya, N Owada, T Adachi… - Mining, 2023 - mdpi.com
Ground vibration is one of the most hazardous outcomes of blasting. It has a negative impact
both on the environment and the human population near to the blasting area. To evaluate …

Prediction of ground vibration due to mine blasting in a surface lead–zinc mine using machine learning ensemble techniques

S Hosseini, R Pourmirzaee, DJ Armaghani… - Scientific Reports, 2023 - nature.com
Ground vibration due to blasting is identified as a challenging issue in mining and civil
activities. Peak particle velocity (PPV) is one of the blasting undesirable consequences …

Predicting blast-induced ground vibration in open-pit mines using vibration sensors and support vector regression-based optimization algorithms

H Nguyen, Y Choi, XN Bui, T Nguyen-Thoi - Sensors, 2019 - mdpi.com
In this study, vibration sensors were used to measure blast-induced ground vibration (PPV).
Different evolutionary algorithms were assessed for predicting PPV, including the particle …

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

H Nguyen, XN Bui, HB Bui, DT Cuong - Acta Geophysica, 2019 - Springer
Ground vibration is one of the most undesirable effects induced by blasting operations in
open-pit mines, and it can cause damage to surrounding structures. Therefore, predicting …

Prediction of vibration velocity generated in mine blasting using support vector regression improved by optimization algorithms

H Yang, H Nikafshan Rad, M Hasanipanah… - Natural Resources …, 2020 - Springer
Ground vibration generated from blasting is a detrimental side effect of the use of explosives
to break the rock mass in mines. Therefore, accurately predicting ground vibration is a …