GIS-Based Soft Computing Models for Landslide Susceptibility Mapping: A Case Study of Pithoragarh District, Uttarakhand State, India

GIS-Based Soft Computing Models for Landslide Susceptibility Mapping: A Case Study of Pithoragarh District, Uttarakhand State, India

The main objective of the study was to investigate performance of three soft computing models: Naïve Bayes (NB), Multilayer Perceptron (MLP) neural network classifier, and Alternating Decision Tree (ADT) in landslide susceptibility mapping of Pithoragarh District of Uttarakhand State, India. For thi...

Full description

Bibliographic Details
Main Authors: Trung-Hieu Tran, Nguyen Duc Dam, Fazal E. Jalal, Nadhir Al-Ansari, Lanh Si Ho, Tran Van Phong, Mudassir Iqbal, Hiep Van Le, Hanh Bich Thi Nguyen, Indra Prakash, Binh Thai Pham
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2021/9914650

Internet

http://dx.doi.org/10.1155/2021/9914650

Similar Items