Comparison and Validation of Landslide Susceptibility Maps Using an Artificial Neural Network Model for Three Test Areas in Malaysia
暂无分享,去创建一个
[1] B. Pradhan,et al. Landslide risk analysis using artificial neural network model focussing on different training sites. , 2009 .
[2] Saro Lee. Application and verification of fuzzy algebraic operators to landslide susceptibility mapping , 2007 .
[3] M. Xie,et al. A time-space based approach for mapping rainfall-induced shallow landslide hazard , 2004 .
[4] Saro Lee,et al. Determination and application of the weights for landslide susceptibility mapping using an artificial neural network , 2004 .
[5] B. Pradhan,et al. Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia , 2010 .
[6] B. Pradhan,et al. Landslide hazard mapping at Selangor, Malaysia using frequency ratio and logistic regression models , 2007 .
[7] D. Varnes. Landslide hazard zonation: A review of principles and practice , 1984 .
[8] A. Nonomura,et al. GIS-based weights-of-evidence modelling of rainfall-induced landslides in small catchments for landslide susceptibility mapping , 2008 .
[9] H. A. Nefeslioglu,et al. Extraction of potential debris source areas by logistic regression technique: a case study from Barla, Besparmak and Kapi mountains (NW Taurids, Turkey) , 2008 .
[10] O. Marinoni,et al. Doline probability map using logistic regression and GIS technology in the central Ebro Basin (Spain) , 2008 .
[11] P. Atkinson,et al. Introduction Neural networks in remote sensing , 1997 .
[12] M. Arora,et al. An approach for GIS-based statistical landslide susceptibility zonation—with a case study in the Himalayas , 2005 .
[13] P. Reichenbach,et al. Landslide hazard evaluation: a review of current techniques and their application in a multi-scale study, Central Italy , 1999 .
[14] H. Wang,et al. Comparative evaluation of landslide susceptibility in Minamata area, Japan , 2005 .
[15] P. Atkinson,et al. Generalised linear modelling of susceptibility to landsliding in the Central Apennines, Italy , 1998 .
[16] Saro Lee,et al. Application of logistic regression model and its validation for landslide susceptibility mapping using GIS and remote sensing data , 2005 .
[17] C. Chung,et al. Probabilistic prediction models for landslide hazard mapping , 1999 .
[18] Lefteri H. Tsoukalas,et al. Fuzzy and neural approaches in engineering , 1997 .
[19] B. Pradhan,et al. Geomorphological hazard analysis along the Egyptian Red Sea coast between Safaga and Quseir , 2009 .
[20] Robert A. Schowengerdt,et al. A review and analysis of backpropagation neural networks for classification of remotely-sensed multi-spectral imagery , 1995 .
[21] Pradhan Biswajeet,et al. Utilization of Optical Remote Sensing Data and GIS Tools for Regional Landslide Hazard Analysis Using an Artificial Neural Network Model , 2007 .
[22] John C. Davis,et al. Using multiple logistic regression and GIS technology to predict landslide hazard in northeast Kansas, USA , 2003 .
[23] Ramesh P. Singh,et al. Estimation of stress and its use in evaluation of landslide prone regions using remote sensing data , 2006 .
[24] Fauziah Ahmad,et al. Characterization and Geotechnical Properties of Penang Residual Soils with Emphasis on Landslides , 2006 .
[25] Majid H. Tangestani,et al. Landslide susceptibility mapping using the fuzzy gamma approach in a GIS, Kakan catchment area, southwest Iran , 2004 .
[26] Saro Lee,et al. Probabilistic landslide hazard mapping using GIS and remote sensing data at Boun, Korea , 2004 .
[27] Saro Lee,et al. Probabilistic landslide susceptibility mapping in the Lai Chau province of Vietnam: focus on the relationship between tectonic fractures and landslides , 2005 .
[28] A. Akgun,et al. Landslide susceptibility mapping for a landslide-prone area (Findikli, NE of Turkey) by likelihood-frequency ratio and weighted linear combination models , 2008 .
[29] C. Gokceoğlu,et al. Discontinuity controlled probabilistic slope failure risk maps of the Altindag (settlement) region in Turkey , 2000 .
[30] C. Gokceoğlu,et al. Assessment of landslide susceptibility for a landslide-prone area (north of Yenice, NW Turkey) by fuzzy approach , 2002 .
[31] B. Pradhan,et al. Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models , 2010 .
[32] A. Clerici,et al. A GIS-based automated procedure for landslide susceptibility mapping by the Conditional Analysis method: the Baganza valley case study (Italian Northern Apennines) , 2006 .
[33] M. Arora,et al. GIS-based Landslide Hazard Zonation in the Bhagirathi (Ganga) Valley, Himalayas , 2002 .
[34] Manfred F. Buchroithner,et al. Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model , 2008 .
[35] B. Pradhan,et al. Use of geospatial data and fuzzy algebraic operators to landslide-hazard mapping , 2009 .
[36] Saro Lee. Comparison of landslide susceptibility maps generated through multiple logistic regression for three test areas in Korea , 2007 .
[37] Efraim Turban,et al. Decision support systems and intelligent systems , 1997 .
[38] Weiyang Zhou,et al. Verification of the nonparametric characteristics of backpropagation neural networks for image classification , 1999, IEEE Trans. Geosci. Remote. Sens..