SS-XGBoost: A Machine Learning Framework for Predicting Newmark Sliding Displacements of Slopes

Title
SS-XGBoost: A Machine Learning Framework for Predicting Newmark Sliding Displacements of Slopes
Authors
Keywords
-
Journal
Publisher
American Society of Civil Engineers (ASCE)
Online
2020-06-18
DOI
10.1061/(asce)gt.1943-5606.0002297

Ask authors/readers for more resources

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started