Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS
Binh Thai Pham(University Of Transport Technology), M. B. Dholakia(Gujarat Technological University), Indra Prakash(Geological Survey of India), Dieu Tien Bui(University of South-Eastern Norway)
Cited by 631
Related Papers
Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance
|Earth-Science Reviews|2020|1.1k
A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran
|The Science of The Total Environment|2018|760
A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods
|Journal of Hydrology|2019|726
A novel hybrid artificial intelligence approach for flood susceptibility assessment
|Environmental Modelling & Software|2017|637
Influence of Data Splitting on Performance of Machine Learning Models in Prediction of Shear Strength of Soil
|Mathematical Problems in Engineering|2021|609