A methodological approach for the development and verification of artificial neural networks based on an application to wave–structure interaction processes

2018 ◽  
Vol 60 (3) ◽  
pp. 260-279 ◽  
Author(s):  
Sara Mizar Formentin ◽  
Barbara Zanuttigh
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Methodological Approach ◽  
Wave Structure ◽  
Structure Interaction ◽  
Interaction Processes ◽  
Artificial Neural ◽  
Wave Structure Interaction

scholarly journals UPDATE OF THE EUROTOP NEURAL NETWORK TOOL: IMPROVED PREDICTION OF WAVE OVERTOPPING

2017 ◽  
pp. 2
Author(s):  
Barbara Zanuttigh ◽  
Sara Mizar Formentin ◽  
Jentsje Wouter Van der Meer
Keyword(s):  
Wave Reflection ◽  
Extreme Values ◽  
Wave Structure ◽  
The Internet ◽  
Reflection Coefficients ◽  
Wave Overtopping ◽  
Structure Interaction ◽  
Interaction Processes ◽  
The Mean ◽  
Wave Structure Interaction

The goal of this work is to present a synthesis of the improvements and updates developed to deliver the final version of the ANN tool adopted by the second edition of the wave overtopping manual, EurOtop, released on the internet in 2016. This tool consists of three identical but independent ANNs able to predict the main parameters representative of the wave-structure interaction processes, i.e. the mean wave overtopping discharge, the wave transmission and the wave reflection coefficients. The contribution focuses on the modifications of the ANN architecture carried out since the last ICCE conference to achieve an optimized representation of the wave overtopping, especially in case of low and extreme values of the overtopping discharge. The consistency of the ANN predictions is assessed through an artificial dataset including geometrical and climate input parameters that are varied with continuity, while the robustness of the tool is checked by applying the ANN to selected geometries excluded from the training database.

scholarly journals Application of artificial neural networks to assessment of ship manoeuvrability qualities

2008 ◽  
Vol 15 (2) ◽  
pp. 15-21 ◽  
Author(s):  
Tomasz Abramowski
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Methodological Approach ◽  
Test Cases ◽  
Network Structures ◽  
Activation Functions ◽  
Neuron Activation ◽  
Network Simulations ◽  
Artificial Neural

Application of artificial neural networks to assessment of ship manoeuvrability qualities This paper presents an attempt to applying neural networks for assessment of parameters of standard manoeuvrability tests, i.e. circulation test and zig-zag test. Methodological approach to application of neural networks as well as applied network structures and neuron activation functions are generally presented. Also, results of simulations performed by means of the elaborated networks are given in comparison with test cases selected at random. In order to analyze and reveal general trends, correlation relationships between results from network simulations and test cases were calculated and are presented as well.

Image-clustering analysis of the wave–structure interaction processes under breaking and non-breaking waves

2021 ◽  
Vol 33 (10) ◽  
pp. 105121
Author(s):  
Sara Mizar Formentin ◽  
Maria Gabriella Gaeta ◽  
Roberto De Vecchis ◽  
Massimo Guerrero ◽  
Barbara Zanuttigh
Keyword(s):  
Clustering Analysis ◽  
Wave Structure ◽  
Breaking Waves ◽  
Image Clustering ◽  
Structure Interaction ◽  
Interaction Processes ◽  
Wave Structure Interaction
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