A GIS-based comparative study of Dempster-Shafer, logistic regression and artificial neural network models for landslide susceptibility mapping

Logistic Regression ◽

Comparative Study ◽

Network Models ◽

Susceptibility Mapping ◽

Landslide Susceptibility Mapping ◽

Neural Network Models ◽

Landslide susceptibility mapping at Ovacık-Karabük (Turkey) using different artificial neural network models: comparison of training algorithms

Bulletin of Engineering Geology and the Environment ◽

10.1007/s10064-017-1034-3 ◽

2017 ◽

Vol 78 (1) ◽

pp. 89-102 ◽

Cited By ~ 31

Author(s):

Aslı Can ◽

Gulseren Dagdelenler ◽

Murat Ercanoglu ◽

Harun Sonmez

Keyword(s):

Neural Network ◽

Network Models ◽

Susceptibility Mapping ◽

Landslide Susceptibility Mapping ◽

Training Algorithms ◽

Neural Network Models ◽

Models Comparison ◽

Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models

Natural Hazards ◽

10.1007/s11069-013-0932-3 ◽

2013 ◽

Vol 71 (1) ◽

pp. 523-547 ◽

Cited By ~ 85

Author(s):

Vahid Nourani ◽

Biswajeet Pradhan ◽

Hamid Ghaffari ◽

Seyed Saber Sharifi

Keyword(s):

Neural Network ◽

Logistic Regression ◽

Genetic Programming ◽

Frequency Ratio ◽

Network Models ◽

Landslide Susceptibility Mapping ◽

Neural Network Models ◽

Landslide susceptibility analysis and its verification using likelihood ratio, logistic regression, and artificial neural network models: case study of Youngin, Korea

Landslides ◽

10.1007/s10346-007-0088-x ◽

2007 ◽

Vol 4 (4) ◽

pp. 327-338 ◽

Cited By ~ 153

Author(s):

Saro Lee ◽

Joo-Hyung Ryu ◽

Ii-Soo Kim

Keyword(s):

Neural Network ◽

Logistic Regression ◽

Likelihood Ratio ◽

Network Models ◽

Neural Network Models ◽

Susceptibility Analysis ◽

Discussion on “Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS” by Choi et al. (2012), Engineering Geology, 124, 12–23

Engineering Geology ◽

10.1016/j.enggeo.2012.01.008 ◽

2012 ◽

Vol 129-130 ◽

pp. 104-105 ◽

Cited By ~ 7

Author(s):

C. Gokceoglu

Keyword(s):

Neural Network ◽

Logistic Regression ◽

Engineering Geology ◽

Network Models ◽

Neural Network Models ◽

Susceptibility Maps ◽

Artificial Neural Network Models ◽

Landslide Susceptibility Maps

Logistic regression and artificial neural network models for mapping of regional-scale landslide susceptibility in volcanic mountains of West Java (Indonesia)

10.1063/1.4947407 ◽

2016 ◽

Cited By ~ 4

Author(s):

Ngadisih ◽

Netra P. Bhandary ◽

Ryuichi Yatabe ◽

Ranjan K. Dahal

Keyword(s):

Neural Network ◽

Logistic Regression ◽

Regional Scale ◽

Network Models ◽

Neural Network Models ◽

West Java ◽

Artificial Neural ◽

Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS

Engineering Geology ◽

10.1016/j.enggeo.2011.09.011 ◽

2012 ◽

Vol 124 ◽

pp. 12-23 ◽

Cited By ~ 162

Author(s):

Jaewon Choi ◽

Hyun-Joo Oh ◽

Hong-Jin Lee ◽

Changwook Lee ◽

Saro Lee

Keyword(s):

Neural Network ◽

Logistic Regression ◽

Frequency Ratio ◽

Network Models ◽

Neural Network Models ◽

Susceptibility Maps ◽

Artificial Neural Network Models ◽

Landslide Susceptibility Maps

Comparison and evaluation of landslide susceptibility maps obtained from weight of evidence, logistic regression, and artificial neural network models

Natural Hazards ◽

10.1007/s11069-018-3299-7 ◽

2018 ◽

Vol 93 (1) ◽

pp. 249-274 ◽

Cited By ~ 31

Author(s):

Christos Polykretis ◽

Christos Chalkias

Keyword(s):

Neural Network ◽

Logistic Regression ◽

Network Models ◽

Weight Of Evidence ◽

Neural Network Models ◽

Susceptibility Maps ◽

Artificial Neural Network Models ◽

Landslide Susceptibility Maps

Development of a prediction model for pancreatic cancer in patients with type 2 diabetes using logistic regression and artificial neural network models

Cancer Management and Research ◽

10.2147/cmar.s180791 ◽

2018 ◽

Vol Volume 10 ◽

pp. 6317-6324 ◽

Cited By ~ 8

Author(s):

Meng Hsuen Hsieh ◽

Li-Min Sun ◽

Cheng-Li Lin ◽

Meng-Ju Hsieh ◽

Chung-Y. Hsu ◽

...

Keyword(s):

Neural Network ◽

Type 2 Diabetes ◽

Pancreatic Cancer ◽

Logistic Regression ◽

Prediction Model ◽

Network Models ◽

Neural Network Models ◽

Development, Validation and Comparison of Artificial Neural Network Models and Logistic Regression Models Predicting Survival of Unresectable Pancreatic Cancer

Frontiers in Bioengineering and Biotechnology ◽

10.3389/fbioe.2020.00196 ◽

2020 ◽

Vol 8 ◽

Author(s):

Zhou Tong ◽

Yu Liu ◽

Hongtao Ma ◽

Jindi Zhang ◽

Bo Lin ◽

...

Keyword(s):

Neural Network ◽

Pancreatic Cancer ◽

Logistic Regression ◽

Regression Models ◽

Network Models ◽

Unresectable Pancreatic Cancer ◽

Neural Network Models ◽

Logistic Regression Models ◽

Optimization of causative factors using logistic regression and artificial neural network models for landslide susceptibility assessment in Ujung Loe Watershed, South Sulawesi Indonesia

Journal of Mountain Science ◽

10.1007/s11629-018-4884-7 ◽

2019 ◽

Vol 16 (2) ◽

pp. 383-401 ◽

Cited By ~ 5

Author(s):

Andang Suryana Soma ◽

Tetsuya Kubota ◽

Hideaki Mizuno

Keyword(s):

Neural Network ◽

Logistic Regression ◽

Network Models ◽

Susceptibility Assessment ◽

Neural Network Models ◽

Landslide Susceptibility Assessment ◽

South Sulawesi ◽

Causative Factors ◽