Prediction of Tsunami-HySEA inundation results using deep learning
Published: 12 October 2021| Version 1 | DOI: 10.17632/943d2tpc2h.1
Marc de la Asunción
Data to train multilayer perceptron (MLP) neural networks for the prediction of different tsunami alert levels in a given area (green, yellow, orange and red), and for the prediction of the maximum water height and arrival times of a tsunami at given points. The data have been obtained using Tsunami-HySEA.
Artificial Neural Networks, Computer Simulation, Deep Neural Network