Authors

Affiliations

1 Hanoi University of Natural Resources and Environment, Vietnam. 

Abstracts

Flood forecasting is one of the most important thing for flood prevention. Upto date, there are many techniques that can be used for this work, from simple ones like linear regression model (AR, ARX, ARMA, etc.)  to very comlex models like hydrological and hydrodynamic models). Recently, Artificial Inteligent (AI) become an cleve approach for many field including hydrological forcasting. Shallow neuron network is one of a simplest algorithm of AI but it can help to get a great result of forcasting problem due to its non–linear and automata technique. This paper present the test on applying Shallow neuron network for flood forcasting in Vu Gia Thu Bon river basin. The result show comparetable with the complex hydrological and hydraudynamic model.   

Keywords

Cite this paper

Anh, T.V.; Minh, H.T.N.; Minh, V.T.N. Application on shallow neuron network (SNN) in flood forecasting, case study in Vu Gia Thu Bon river basin. Vn. J Hydrometeorol. 2020, 6, 79-88. 

 

 

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