TY - JOUR AU - Zanuttigh, Barbara AU - Formentin, Sara Mizar AU - Van der Meer, Jentsje W. PY - 2014/10/30 Y2 - 2024/03/28 TI - ADVANCES IN MODELLING WAVE-STRUCTURE INTERACTION THROUGH ARTIFICIAL NEURAL NETWORKS JF - Coastal Engineering Proceedings JA - Int. Conf. Coastal. Eng. VL - 1 IS - 34 SE - Coastal Structures DO - 10.9753/icce.v34.structures.69 UR - https://icce-ojs-tamu.tdl.org/icce/article/view/7826 SP - structures.69 AB - This contribution describes a new Artificial Neural Network (ANN) able to predict at once the main parameters representative of the wave-structure interaction processes, i.e. the wave overtopping discharge, the wave transmission coefficient and the wave reflection coefficient. The development of this ANN started with the preparation of a new extended and homogeneous database (derived from CLASH database) which collects all the available tests including at least one of the three parameters, for a total amount of 16,165 data. Some of the existing ANNs were compared and improved, leading to the selection of a final ANN, whose architecture was optimized through an in-depth sensitivity analysis to the learning and training ANN features. The new ANN here proposed provides accurate predictions for all the three parameters, resulting in a tool that can be efficiently used for design purposes. ER -