Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
doi:10.5194/gmd-2016-311
© Author(s) 2017. This work is distributed
under the Creative Commons Attribution 3.0 License.
Model description paper
17 Jan 2017
Review status
A revision of this discussion paper is under review for the journal Geoscientific Model Development (GMD).
A Bayesian Framework Based on Gaussian Mixture Model and Radial Basis Function Fisher Discriminant Analysis for Flood Spatial Prediction (BayGmmKda V1.1)
Dieu Tien Bui1 and Nhat-Duc Hoang2 1Geographic Information System Group, Department of Business Administration and Computer Science, University College of Southeast Norway (USN), Hallvard Eikas Plass, N-3800, Bø I Telemark, Norway
2Faculty of Civil Engineering, Institute of Research and Development, Duy Tan University, P809 - K7/25 Quang Trung, Danang, Vietnam
Abstract. In this study, a probabilistic model, named as BayGmmKda, is proposed for flood assessment with a study area in Central Vietnam. The new model is essentially a Bayesian framework constructed a combination of Gaussian Mixture Model, Radial Basis Function Fisher Discriminant Analysis, and a Geographic Information System database. Experiments used for measuring the model performance point out that the hybrid framework is superior to other benchmark models including the adaptive neuro fuzzy inference system and the support vector machine. To facility the model implementation, a software program of BayGmmKda has been developed in Matlab environment. The newly proposed model is shown to be a very promising alternative for assisting decision-makers in flood assessment.

Citation: Tien Bui, D. and Hoang, N.-D.: A Bayesian Framework Based on Gaussian Mixture Model and Radial Basis Function Fisher Discriminant Analysis for Flood Spatial Prediction (BayGmmKda V1.1), Geosci. Model Dev. Discuss., doi:10.5194/gmd-2016-311, in review, 2017.
Dieu Tien Bui and Nhat-Duc Hoang
Dieu Tien Bui and Nhat-Duc Hoang
Dieu Tien Bui and Nhat-Duc Hoang

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