Ge, Qingyun, Li, Caimei, Yang, Fulian (2023) Support Vector Machine to Predict the Pile Settlement using Novel Optimization Algorithm. Geotechnical and Geological Engineering, 41 (7) Springer Science and Business Media LLC. 3861-3875 doi:10.1007/s10706-023-02487-5
| Reference Type | Journal (article/letter/editorial) | ||
|---|---|---|---|
| Title | Support Vector Machine to Predict the Pile Settlement using Novel Optimization Algorithm | ||
| Journal | Geotechnical and Geological Engineering | ||
| Authors | Ge, Qingyun | Author | |
| Li, Caimei | Author | ||
| Yang, Fulian | Author | ||
| Year | 2023 (September) | Volume | 41 |
| Issue | 7 | ||
| Publisher | Springer Science and Business Media LLC | ||
| DOI | doi:10.1007/s10706-023-02487-5Search in ResearchGate | ||
| Generate Citation Formats | |||
| Mindat Ref. ID | 16631848 | Long-form Identifier | mindat:1:5:16631848:7 |
| GUID | 0 | ||
| Full Reference | Ge, Qingyun, Li, Caimei, Yang, Fulian (2023) Support Vector Machine to Predict the Pile Settlement using Novel Optimization Algorithm. Geotechnical and Geological Engineering, 41 (7) Springer Science and Business Media LLC. 3861-3875 doi:10.1007/s10706-023-02487-5 | ||
| Plain Text | Ge, Qingyun, Li, Caimei, Yang, Fulian (2023) Support Vector Machine to Predict the Pile Settlement using Novel Optimization Algorithm. Geotechnical and Geological Engineering, 41 (7) Springer Science and Business Media LLC. 3861-3875 doi:10.1007/s10706-023-02487-5 | ||
| In | (2023, September) Geotechnical and Geological Engineering Vol. 41 (7) Springer Science and Business Media LLC | ||
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