A combination of feature selection and random forest techniques to solve a problem related to blast-induced ground vibration

A combination of feature selection and random forest techniques to solve a problem related to blast-induced ground vibration

In mining and civil engineering applications, a reliable and proper analysis of ground vibration due to quarry blasting is an extremely important task. While advances in machine learning led to numerous powerful regression models, the usefulness of these models for modeling the peak particle velocit...

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Bibliographic Details
Main Authors: Zhang, Hong, Zhou, Jian, Armaghani, Danial Jahed, Md. Tahir, Mahmood, Pham, Binh Thai, Huynh, Van Van
Format: Article
Language:English
Published: MDPI 2020
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utm.my/id/eprint/28661/1/MahmoodMdTahir2020_ACombinationofFeatureSelection.pdf
http://eprints.utm.my/id/eprint/28661/
http://dx.doi.org/10.3390/app10030869
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/id/eprint/28661/1/MahmoodMdTahir2020_ACombinationofFeatureSelection.pdf
http://eprints.utm.my/id/eprint/28661/
http://dx.doi.org/10.3390/app10030869

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