A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India

Binh Thai Pham; Ataollah Shirzadi; Dieu Tien Bui; Indra Prakash; M.B. Dholakia

doi:10.1016/j.ijsrc.2017.09.008

A hybrid machine learning ensemble approach based on a Radial Basis Function neural network and Rotation Forest for landslide susceptibility modeling: A case study in the Himalayan area, India

International Journal of Sediment Research ◽

10.1016/j.ijsrc.2017.09.008 ◽

2018 ◽

Vol 33 (2) ◽

pp. 157-170 ◽

Cited By ~ 70

Author(s):

Binh Thai Pham ◽

Ataollah Shirzadi ◽

Dieu Tien Bui ◽

Indra Prakash ◽

M.B. Dholakia

Keyword(s):

Neural Network ◽

Machine Learning ◽

Radial Basis Function ◽

Basis Function ◽

Landslide Susceptibility ◽

Rotation Forest ◽

Ensemble Approach ◽

Susceptibility Modeling ◽

Hybrid Machine

Download Full-text

New modelling strategy based on radial basis function neural network (RBFNN) for predicting dissolved oxygen concentration using the components of the Gregorian calendar as inputs: case study of Clackamas River, Oregon, USA

Modeling Earth Systems and Environment ◽

10.1007/s40808-016-0232-5 ◽

2016 ◽

Vol 2 (4) ◽

pp. 1-5 ◽

Cited By ~ 11

Author(s):

Salim Heddam

Keyword(s):

Neural Network ◽

Dissolved Oxygen ◽

Radial Basis Function ◽

Oxygen Concentration ◽

Basis Function ◽

Gregorian Calendar ◽

Dissolved Oxygen Concentration ◽

Radial Basis

Download Full-text

Flood Water Level Modeling and Prediction Using Radial Basis Function Neural Network: Case Study Kedah

Communications in Computer and Information Science - Modeling, Design and Simulation of Systems ◽

10.1007/978-981-10-6463-0_20 ◽

2017 ◽

pp. 225-234

Author(s):

Mohd Anuar Abu Bakar ◽

Fathrul Azarshah Abdul Aziz ◽

Shamsul Faisal Mohd Hussein ◽

Shahrum Shah Abdullah ◽

Fauzan Ahmad

Keyword(s):

Neural Network ◽

Radial Basis Function ◽

Water Level ◽

Basis Function ◽

Flood Water ◽

Modeling And Prediction ◽

Radial Basis

Download Full-text

Study on evaluation model of soundscape in urban park based on Radial Basis Function Neural Network: A case study of Shiba Park and Kamogawa Park, Japan

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/300/3/032036 ◽

2019 ◽

Vol 300 ◽

pp. 032036 ◽

Cited By ~ 1

Author(s):

Xinchen Hong ◽

Yu Jiang ◽

Shuting Wu ◽

Linying Zhang ◽

Siren Lan

Keyword(s):

Neural Network ◽

Radial Basis Function ◽

Basis Function ◽

Evaluation Model ◽

Urban Park ◽

Radial Basis

Download Full-text

Prediction of river suspended sediment load using radial basis function neural network-a case study in Malaysia

2011 National Postgraduate Conference ◽

10.1109/natpc.2011.6136377 ◽

2011 ◽

Cited By ~ 1

Author(s):

Muhammad Raza Ul Mustafa ◽

Mohamed Hasnain Isa ◽

Rezaur Rahaman Bhuiyan

Keyword(s):

Neural Network ◽

Radial Basis Function ◽

Suspended Sediment ◽

Basis Function ◽

Sediment Load ◽

Suspended Sediment Load ◽

Radial Basis

Download Full-text

Machine learning of radial basis function neural network based on Kalman filter: Introduction

Tehnika ◽

10.5937/tehnika1404613v ◽

2014 ◽

Vol 69 (4) ◽

pp. 613-620

Author(s):

Najdan L. Vuković ◽

Zoran Đ. Miljković

Keyword(s):

Neural Network ◽

Machine Learning ◽

Kalman Filter ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis

Download Full-text

Application of the radial basis function neural network to the prediction of log properties from seismic attributes — A channel sand case study

10.1190/1.1817949 ◽

2003 ◽

Cited By ~ 4

Author(s):

Brian H. Russell ◽

Daniel P. Hampson ◽

Laurence R. Lines

Keyword(s):

Neural Network ◽

Radial Basis Function ◽

Basis Function ◽

Seismic Attributes ◽

Radial Basis

Download Full-text

Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches

CATENA ◽

10.1016/j.catena.2018.12.018 ◽

2019 ◽

Vol 175 ◽

pp. 203-218 ◽

Cited By ~ 91

Author(s):

Binh Thai Pham ◽

Indra Prakash ◽

Sushant K. Singh ◽

Ataollah Shirzadi ◽

Himan Shahabi ◽

...

Keyword(s):

Machine Learning ◽

Landslide Susceptibility ◽

Learning Approaches ◽

Susceptibility Modeling ◽

Ensemble Techniques ◽

Hybrid Machine

Download Full-text

Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China

Computers & Geosciences ◽

10.1016/j.cageo.2017.11.019 ◽

2018 ◽

Vol 112 ◽

pp. 23-37 ◽

Cited By ~ 83

Author(s):

Chao Zhou ◽

Kunlong Yin ◽

Ying Cao ◽

Bayes Ahmed ◽

Yuanyao Li ◽

...

Keyword(s):

Machine Learning ◽

Landslide Susceptibility ◽

Three Gorges Reservoir ◽

Three Gorges Reservoir Area ◽

Three Gorges ◽

Reservoir Area ◽

Machine Learning Methods ◽

Susceptibility Modeling ◽

The Three Gorges

Download Full-text

Forecasting of Vannamei Shrimp Production Based on Weather Factors Using Radial Basis Function Neural Network Approach (Case Study: Lamongan District)

Journal of Physics Conference Series ◽

10.1088/1742-6596/1373/1/012034 ◽

2019 ◽

Vol 1373 ◽

pp. 012034

Author(s):

M U Albab ◽

M I Irawan ◽

D Adzkiya

Keyword(s):

Neural Network ◽

Radial Basis Function ◽

Basis Function ◽

Network Approach ◽

Weather Factors ◽

Neural Network Approach ◽

Shrimp Production ◽

Radial Basis

Download Full-text

Radial basis function artificial neural network able to accurately predict disinfection by-product levels in tap water: Taking haloacetic acids as a case study

Chemosphere ◽

10.1016/j.chemosphere.2020.125999 ◽

2020 ◽

Vol 248 ◽

pp. 125999 ◽

Cited By ~ 3

Author(s):

Hongjun Lin ◽

Qunyun Dai ◽

Lili Zheng ◽

Huachang Hong ◽

Wenjing Deng ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Radial Basis Function ◽

Basis Function ◽

Tap Water ◽

Haloacetic Acids ◽

Radial Basis ◽

Artificial Neural

Download Full-text