Landslide risk analysis using artificial neural network model focussing on different training sites

QR Code

Landslide risk analysis using artificial neural network model focussing on different training sites

This paper presents landslide hazard and risk analysis using remote sensing data, GIS tools and artificial neural network model. Landslide locations were identified in the study area from interpretation of aerial photographs and from field surveys. Topographical and geological data and satellite ima...

Full description

Bibliographic Details
Main Authors:	Pradhan, Biswajeet, Lee, Saro
Format:	Article
Language:	English
Published:	Academic Journals 2009
Online Access:	http://psasir.upm.edu.my/id/eprint/40102/ http://psasir.upm.edu.my/id/eprint/40102/1/article1380548817_Pradhan%20and%20Lee.pdf

Similar Items

Approaches for delineating landslide hazard areas using different training sites in an advanced artificial neural network model
by: Pradhan, Biswajeet, et al.
Published: (2010)

An assessment of the use of an advanced neural network model with five different training strategies for the preparation of landslide susceptibility maps.
by: Pradhan, Biswajeet
Published: (2011)

Application of an evidential belief function model in landslide susceptibility mapping
by: Althuwaynee, Omar F., et al.
Published: (2012)

A novel integrated model for assessing landslide susceptibility mapping using CHAID and AHP pair-wise comparison
by: Althuwaynee, Omar F., et al.
Published: (2016)

Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models
by: Nourani, Vahid, et al.
Published: (2014)

Landslide susceptibility mapping at VAZ watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms
by: Pradhan, Biswajeet, et al.
Published: (2013)

Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree
by: Bui, Dieu Tien, et al.
Published: (2016)

Landslide hazard and risk analyses at a landslide prone catchment area using statistical based geospatial model.
by: Pradhan, Biswajeet, et al.
Published: (2011)

Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area.
by: Hyun, Joo Oh, et al.
Published: (2011)

Utilization of optical remote sensing data and geographic information system tools for regional landslide hazard analysis by using binomial logistic regression model
by: Pradhan, Biswajeet, et al.
Published: (2008)

Modeling of CO emissions from traffic vehicles using artificial neural networks
by: Al-Gbur, Omer Saud Azeez, et al.
Published: (2019)

Next steps: towards child-focussed nursing
by: Randall, D., et al.
Published: (2013)

An overview of effect of activation functions on training and performance of artificial neural network modelling
by: Md Munirul, Hasan, et al.
Published: (2022)

A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS.
by: Pradhan, Biswajeet
Published: (2013)

Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping: Klang valley, Malaysia
by: Sezera, Ebru Akcapinar, et al.
Published: (2011)

Artificial neural network
by: Muhamad Nor, Norfarina, et al.
Published: (2016)

Severity prediction of traffic accidents with recurrent neural networks
by: Sameen, Maher Ibrahim, et al.
Published: (2017)

Severity prediction of traffic accidents with recurrent neural networks
by: Sameen, Maher Ibrahim, et al.
Published: (2017)

A focussed analysis of β-cyclodextrins for quinoxaline derivatives synthesis
by: Khatoon, Hena, et al.
Published: (2024)

Water quality modelling and artificial neural network
by: Jami, Mohammed Saedi, et al.
Published: (2012)

Artificial neural network for modelling rainfall-runoff
by: Tayebiyan, Aida, et al.
Published: (2016)

Convolutional neural network training with artificial pattern for Bangla handwritten numeral recognition
by: Akhand, M. A. H, et al.
Published: (2016)

Optimized neural architecture for automatic landslide detection from high-resolution airborne laser scanning data
by: Mezaal, Al-Karawi Mustafa Ridha, et al.
Published: (2017)

Review of artificial neural network model for suspended sediment estimation
by: Rezapour, Omolbani Mohamad, et al.
Published: (2010)

Modularity in artificial neural networks
by: Amer, Mohammed Elsayed Mohammed
Published: (2021)

Artificial neural network (ANN)
by: Kang, Miew How
Published: (2011)

Texture recognition by using artificial neural network
by: Foong, Lee Sai
Published: (2013)

Assessing parents’ receptiveness to a vegetable-focussed in-school nutrition intervention
by: Jongenelis, Michelle, et al.
Published: (2017)

Landslide susceptibility assessment in Vietnam using support vector machines, decision tree, and nave bayes models
by: Tien Bui, Dieu, et al.
Published: (2012)

Artificial neural network for performance modelling of shape memory alloy
by: Sivaraos, ., et al.
Published: (2025)

Artificial neural network for performance modelling of shape memory alloy
by: Sivaraos, et al.
Published: (2025)

Artificial Neural Network Modelling of Biogas Production Processes
by: Abdul Sahli, Fakharudin, et al.
Published: (2018)

Artificial Neural Network Model For Rainfall-Runoff Relationship
by: Harun, Sobri, et al.
Published: (2002)

Rainfall-runoff modelling using artificial neural network
by: Harun, Sobri, et al.
Published: (2001)

Web Phishing Classification Model using Artificial Neural Network and Deep Learning Neural Network
by: Noor Hazirah, Hassan, et al.
Published: (2023)

Comparison between prediction capabilities of neural network and fuzzy logic techniques for L and slide susceptibility mapping.
by: Pradhan, Biswajeet, et al.
Published: (2010)

An index to describe the earthquake effect on subsequent landslides in Central Taiwan
by: Yang, Zon Yee, et al.
Published: (2015)

A new framework for geospatial site selection using artificial neural networks as decision rules: a Case study on landfill sites
by: Abujayyab, Sohaib K. M., et al.
Published: (2015)

GIS modeling for selection of a transfer station site for residential solid waste separation and recycling
by: Pradhan, Biswajeet, et al.
Published: (2013)

Artificial Neural Network Based Byzantine Agreement Protocol
by: Lee, Kok Wah
Published: (2002)