Settlement Prediction Using Support Vector Machine (SVM)-Based Compressibility Models: A Case Study
Crossref DOI link: https://doi.org/10.1007/s40999-019-00421-6
Published Online: 2019-04-11
Published Print: 2019-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Kirts, Scott
Nam, Boo Hyun
Panagopoulos, Orestis P.
Xanthopoulos, Petros
Text and Data Mining valid from 2019-04-11
Article History
Received: 11 December 2018
Revised: 12 March 2019
Accepted: 19 March 2019
First Online: 11 April 2019