Introduction to artificial neural systems
Introduction to artificial neural systems
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
Artificial neural networks in wave predictions at the west coast of Portugal
Computers & Geosciences
Comparison of ANN approach with 2D and 3D hydrodynamic models for simulating estuary water stage
Advances in Engineering Software
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Accurate predictions of storm surge and surge deviation are essential for industrial activities in coastal areas. Usually numerical hydrodynamic models or empirical methods are used to estimate the storm surge. This paper proposes an alternative back-propagation neural network (BPN) approach to forecast the storm surge and surge deviation. The prediction of storm surge from a previous typhoon is used as a training set to form predictions for the next event. Wind velocity, wind direction, atmospheric pressure and astronomical tide were selected as inputs in the neural network. The observations obtained during three typhoons from four stations in Taiwan were used to illustrate performance of the BPN model. Comparisons with numerical methods indicate that the storm surge and surge deviation can be efficiently predicted using BPN.