Prediction of Liquefaction Susceptibility of Clean Sandy Soils Using Artificial Intelligence Techniques
Crossref DOI link: https://doi.org/10.1007/s40098-017-0288-9
Published Online: 2017-11-09
Published Print: 2019-02
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Sabbar, Ayad Salih
Chegenizadeh, Amin
Nikraz, Hamid
Funding for this research was provided by:
Iraqi scholarship
Text and Data Mining valid from 2017-11-09
Article History
Received: 14 March 2017
Accepted: 2 November 2017
First Online: 9 November 2017