Rainfall induced landslide susceptibility mapping using novel hybrid soft computing methods based on multi-layer perceptron neural network classifier

[1 ]ENVIS Centre, The Indira Gandhi Conservation Monitoring Centre (I.G.C.M.C.), WWF-India, New Delhi, India

[2 ]University of Transport Technology, Hanoi, Vietnam

[3 ]Civil and Environmental Engineering Program, Graduate School of Advanced Science and Engineering, Hiroshima University, 1-4-1 Kagamiyama, Higashi-Hiroshima, Hiroshima, Japan

[4 ]Research Institute of the University of Bucharest, Bucharest, Romania

[5 ]National Institute of Hydrology and Water Management, Bucharest, Romania

[6 ]Department of Geography, The University of Burdwan, Bardhaman, India

[7 ]Discipline of Civil Engineering, Indian Institute of Technology Indore, Indore, India

[8 ]Faculty of Geography, VNU University of Science, Vietnam National University, Ha Noi, Vietnam

[9 ]Institute of Geological Sciences, Vietnam Academy of Sciences and Technology, Hanoi, Vietnam

[10 ]Institute of Research and Development, Duy Tan University, Da Nang, Vietnam

[11 ]Indira Gandhi Conservation Monitoring Centre (I.G.C.M.C.), WWF-India, New Delhi, India

[12 ]Department of Geography, PPN PG College, C.S.J.M. University, Kanpur, India

[13 ]Bhaskarcharya Institute for Space Applications and Geo-Informatics (BISAG), Gandhinagar, India