Rotation forest fuzzy rule-based classifier ensemble for spatial prediction of landslides using GIS
In this paper, we present a novel classifier ensemble method, namely Rotation Forest fuzzy
rule-based Classifier Ensemble (RFCE), for spatial prediction of landslides. An area located …
rule-based Classifier Ensemble (RFCE), for spatial prediction of landslides. An area located …
Landslide susceptibility assessment using bagging ensemble based alternating decision trees, logistic regression and J48 decision trees methods: a comparative …
In this study, we have evaluated and compared prediction capability of Bagging Ensemble
Based Alternating Decision Trees (BADT), Logistic Regression (LR), and J48 Decision …
Based Alternating Decision Trees (BADT), Logistic Regression (LR), and J48 Decision …
A novel intelligence approach of a sequential minimal optimization-based support vector machine for landslide susceptibility mapping
The main objective of this study is to propose a novel hybrid model of a sequential minimal
optimization and support vector machine (SMOSVM) for accurate landslide susceptibility …
optimization and support vector machine (SMOSVM) for accurate landslide susceptibility …
[PDF][PDF] IN KERALA 2018
B Premlet - sdma.kerala.gov.in
The south Indian state of India, Kerala lying in the lap of the mountain range of Western
Ghats faced one of its most devastating disasters during the landslides of 2018. The …
Ghats faced one of its most devastating disasters during the landslides of 2018. The …