Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution optimization: a case study in Central Vietnam-Reference-Cited by-同舟云学术

Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution optimization: a case study in Central Vietnam

Published:2016-04-22 Issue:11 Volume:9 Page:1077-1097
ISSN:1753-8947
Container-title:International Journal of Digital Earth
language:en
Short-container-title:International Journal of Digital Earth

Author:

Tien Bui Dieu,Pham Binh Thai,Nguyen Quoc Phi,Hoang Nhat-Duc

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences,Computer Science Applications,Software

Link

http://www.tandfonline.com/doi/pdf/10.1080/17538947.2016.1169561

Reference91 articles.

1. The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan

2. Support Vector Machines for Landslide Susceptibility Mapping: The Staffora River Basin Case Study, Italy

3. Early warning of rainfall-induced shallow landslides and debris flows in the USA

4. Application of least square support vector machines in the prediction of aeration performance of plunging overfall jets from weirs

5. Prediction of landslide displacement based on GA-LSSVM with multiple factors

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