Articles | Volume 14, issue 3
https://doi.org/10.5194/nhess-14-525-2014
© Author(s) 2014. This work is distributed under the Creative Commons Attribution 3.0 License.
Research article
| 
04 Mar 2014
Research article |
| 04 Mar 2014
Application of GA–SVM method with parameter optimization for landslide development prediction
Download
- Final revised paper (published on 04 Mar 2014)
- Preprint (discussion started on 08 Oct 2013)
Interactive discussion
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
- Printer-friendly version
- Supplement
-
RC C1597: 'scientific significance of the GA-SVM method for predicting the evolution of landslide movements based on monitoring data', Hans-Balder Havenith, 02 Nov 2013
-
SC C1927: 'Application of GA-SVM method with parameter optimization for landslide development prediction', Xiuzhen Li, 02 Dec 2013
-
SC C1927: 'Application of GA-SVM method with parameter optimization for landslide development prediction', Xiuzhen Li, 02 Dec 2013
-
RC C1921: 'referee comments', Anonymous Referee #2, 28 Nov 2013
-
AC C1929: 'Application of GA-SVM method with parameter optimization for landslide development prediction', Xiuzhen Li, 02 Dec 2013
-
AC C1929: 'Application of GA-SVM method with parameter optimization for landslide development prediction', Xiuzhen Li, 02 Dec 2013
-
AC C1933: 'Application of GA-SVM method with parameter optimization for landslide development prediction', Xiuzhen Li, 02 Dec 2013
