Log in to save to my catalogue

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-ind...

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-ind...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2745498620

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration

About this item

Full title

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration

Publisher

London: Springer London

Journal title

Engineering with computers, 2022-12, Vol.38 (Suppl 5), p.4145-4162

Language

English

Formats

Publication information

Publisher

London: Springer London

More information

Scope and Contents

Contents

Accurate prediction of ground vibration caused by blasting has always been a significant issue in the mining industry. Ground vibration caused by blasting is a harmful phenomenon to nearby buildings and should be prevented. In this regard, a new intelligent method for predicting peak particle velocity (PPV) induced by blasting had been developed. A...

Alternative Titles

Full title

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2745498620

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2745498620

Other Identifiers

ISSN

0177-0667

E-ISSN

1435-5663

DOI

10.1007/s00366-021-01393-9

How to access this item