Direct Interval Prediction of Landslide Displacements Using Least Squares Support Vector Machines
Accurate and reliable predictions of landslide displacements are difficult to perform using traditional point prediction approaches due to the associated uncertainty. Prediction intervals are effective tools for quantifying the uncertainty of point predictions by estimating the limit of future lands...
Saved in:
Main Authors: | Yankun Wang, Huiming Tang, Tao Wen, Junwei Ma |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2020/7082594 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Point and Interval Predictions for Tanjiahe Landslide Displacement in the Three Gorges Reservoir Area, China
by: Yankun Wang, et al.
Published: (2019-01-01) -
Displacement Prediction of a Complex Landslide in the Three Gorges Reservoir Area (China) Using a Hybrid Computational Intelligence Approach
by: Junwei Ma, et al.
Published: (2020-01-01) -
Credit Risk Evaluation with a Least Squares Fuzzy Support Vector Machines Classifier
by: Lean Yu
Published: (2014-01-01) -
Assessment of Transient Stability through Coherent Machine Identification by Using Least-Square Support Vector Machine
by: Bhanu Pratap Soni, et al.
Published: (2018-01-01) -
Research on Application of Regression Least Squares Support Vector Machine on Performance Prediction of Hydraulic Excavator
by: Zhan-bo Chen
Published: (2014-01-01)