Rainfall Induced Landslide Susceptibility Mapping Using Novel Hybrid Soft Computing Methods Based on Multi-layer Perceptron Neural Network Classifier,Geocarto International

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Rainfall Induced Landslide Susceptibility Mapping Using Novel Hybrid Soft Computing Methods Based on Multi-layer Perceptron Neural Network Classifier
Geocarto International ( IF 3.3 ) Pub Date : 2020-10-30 , DOI: 10.1080/10106049.2020.1837262
Mehebub Sahana ₁ , Binh Thai Pham _{2,

3} , Manas Shukla ₁ , Romulus Costache _{4,

5} , Do Xuan Thu ₂ , Rabin Chakrabortty ₆ , Neelima Satyam ₇ , Huu Duy Nguyen ₈ , Tran Van Phong ₉ , Hiep Van Le ₁₀ , Subodh Chandra Pal ₇ , G. Areendran ₁₁ , Kashif Imdad ₁₂ , Indra Prakash ₁₃

Affiliation

ENVIS Centre, The Indira Gandhi Conservation Monitoring Centre (I.G.C.M.C.), WWF-India, New Delhi, India
University of Transport Technology, Hanoi, Vietnam
Civil and Environmental Engineering Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima, Japan
Research Institute of the University of Bucharest, Bucharest, Romania
National Institute of Hydrology and Water Management, Bucharest, Romania
Department of Geography, The University of Burdwan, Bardhaman, India
Discipline of Civil Engineering, Indian Institute of Technology Indore, Indore, India
Faculty of Geography, VNU University of Science, Vietnam National University, Ha Noi, Vietnam
Institute of Geological Sciences, Vietnam Academy of Sciences and Technology, Hanoi, Vietnam
Institute of Research and Development, Duy Tan University, Da Nang, Vietnam
Indira Gandhi Conservation Monitoring Centre (I.G.C.M.C.), WWF-India, New Delhi, India
Department of Geography, PPN PG College, C.S.J.M. University, Kanpur, India
Bhaskarcharya Institute for Space Applications and Geo-Informatics (BISAG), Gandhinagar, India

In this study, we have investigated rainfall induced landslide susceptibility of the Uttarkashi district of India through the developmentof different novel GIS based soft computing approaches namel...

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