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

2015 ◽  
Vol 74 (1) ◽  
pp. 413-429 ◽  
Author(s):  
Moung-Jin Lee ◽  
Inhye Park ◽  
Saro Lee
Keyword(s):  
Landslide Susceptibility ◽  
Frequency Ratio ◽  
Mountain Area ◽  
Fuzzy Models ◽  
Neuro Fuzzy

scholarly journals Monthly groundwater level prediction using ANN and neuro-fuzzy models: a case study on Kerman plain, Iran

2010 ◽  
Vol 13 (4) ◽  
pp. 867-876 ◽  
Author(s):  
Amir Jalalkamali ◽  
Hossein Sedghi ◽  
Mohammad Manshouri
Keyword(s):  
Arid Regions ◽  
Groundwater Resources ◽  
Good Choice ◽  
Groundwater Levels ◽  
Fuzzy Models ◽  
Neuro Fuzzy ◽  
Ann Models ◽  
Artificial Neural Network Ann ◽  
Groundwater Level Prediction

The prediction of groundwater levels in a well has immense importance in the management of groundwater resources, especially in arid regions. This paper investigates the abilities of neuro-fuzzy (NF) and artificial neural network (ANN) techniques to predict the groundwater levels. Two different NF and ANN models comprise various combinations of monthly variablities, that is, air temperature, rainfall and groundwater levels in neighboring wells. The result suggests that the NF and ANN techniques are a good choice for the prediction of groundwater levels in individual wells. Also based on comparisons, it is found that the NF computing techniques have better performance than the ANN models in this case.

scholarly journals Landslide susceptibility assessment using Frequency Ratio, a case study of northern Pakistan

2019 ◽  
Vol 22 (1) ◽  
pp. 11-24 ◽  
Author(s):  
Hawas Khan ◽  
Muhammad Shafique ◽  
Muhammad A. Khan ◽  
Mian A. Bacha ◽  
Safeer U. Shah ◽  
...  
Keyword(s):  
Landslide Susceptibility ◽  
Frequency Ratio ◽  
Northern Pakistan ◽  
Susceptibility Assessment ◽  
Landslide Susceptibility Assessment
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