Revised Multilinear Regression Equations for Prediction of Lateral Spread Displacement

By T. Youd, C. Hansen, S. Bartlett. 2002

337 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Geophysics, Management, Monitoring, Policy and Law

View Paper: https://www.semanticscholar.org/paper/2d7366ddcabff070c54c628205e3ff5fa2a710c8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Majid Ebad Sichani
2. Jamie E. Padgett
3. Reginald DesRoches
4. Yazhou Xie

In Geophysics

1. Majid Ebad Sichani
2. Jamie E. Padgett
3. Reginald DesRoches
4. Yazhou Xie

Citations in the corpus

• The promise of implementing machine learning in earthquake engineering: A state-of-the-art review (2020, methodology): “Pioneered by the studies from Youd and his coauthors (Bartlett and Youd, 1995; Youd et al., 2002), who used multilinear regression (MLR) to develop predictive equations against a case history database, various ML models have been developed to improve the lateral displacement prediction.”