GIS-based evaluation of landslide susceptibility using hybrid computational intelligence models
作者： Wei Chen , Yang Li
DOI: 10.1016/J.CATENA.2020.104777
关键词:
摘要: … for landslide susceptibility modeling. The combination of Rept model and Real Adaboost (RRept)is a novel application in the field of landslide susceptibility. Firstly, a landslide inventory …
sci-hub.st 参考文章(108)
Paraskevas Tsangaratos, Ioanna Ilia, Dimitrios Rozos, Case Event System for Landslide Susceptibility Analysis Springer, Berlin, Heidelberg. pp. 585- 593 ,(2013) , 10.1007/978-3-642-31325-7_77
Arno Sprecher, An Artificial Intelligence Approach Springer Berlin Heidelberg. pp. 107- 116 ,(1994) , 10.1007/978-3-642-48397-4_8
Jie Dou, Hiromitsu Yamagishi, Hamid Reza Pourghasemi, Ali P. Yunus, Xuan Song, Yueren Xu, Zhongfan Zhu, An integrated artificial neural network model for the landslide susceptibility assessment of Osado Island, Japan Natural Hazards. ,vol. 78, pp. 1749- 1776 ,(2015) , 10.1007/S11069-015-1799-2
Alireza Dehnavi, Iman Nasiri Aghdam, Biswajeet Pradhan, Mohammad Hossein Morshed Varzandeh, A new hybrid model using Step-wise Weight Assessment Ratio Analysis (SWARA) technique and Adaptive Neuro-fuzzy Inference System (ANFIS) for regional landslide hazard assessment in Iran Catena. ,vol. 135, pp. 122- 148 ,(2015) , 10.1016/J.CATENA.2015.07.020
Ahmed Mohamed Youssef, Hamid Reza Pourghasemi, Zohre Sadat Pourtaghi, Mohamed M. Al-Katheeri, Erratum to: Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia Landslides. ,vol. 13, pp. 839- 856 ,(2016) , 10.1007/S10346-015-0667-1
Mark A. Hall, Ian H. Witten, Eibe Frank, Data Mining: Practical Machine Learning Tools and Techniques ,(1999)
Dieu Tien Bui, Biswajeet Pradhan, Inge Revhaug, Chuyen Trung Tran, A Comparative Assessment Between the Application of Fuzzy Unordered Rules Induction Algorithm and J48 Decision Tree Models in Spatial Prediction of Shallow Landslides at Lang Son City, Vietnam Society of Earth Scientists Series. pp. 87- 111 ,(2014) , 10.1007/978-3-319-05906-8_6
A. Carrara, M. Cardinali, R. Detti, F. Guzzetti, V. Pasqui, P. Reichenbach, GIS techniques and statistical models in evaluating landslide hazard Earth Surface Processes and Landforms. ,vol. 16, pp. 427- 445 ,(1991) , 10.1002/ESP.3290160505
Lulseged Ayalew, Hiromitsu Yamagishi, The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan Geomorphology. ,vol. 65, pp. 15- 31 ,(2005) , 10.1016/J.GEOMORPH.2004.06.010
Moung-Jin Lee, Inhye Park, Saro Lee, Forecasting and validation of landslide susceptibility using an integration of frequency ratio and neuro-fuzzy models: a case study of Seorak mountain area in Korea Environmental Earth Sciences. ,vol. 74, pp. 413- 429 ,(2015) , 10.1007/S12665-015-4048-9