Issue |
MATEC Web Conf.
Volume 203, 2018
International Conference on Civil, Offshore & Environmental Engineering 2018 (ICCOEE 2018)
|
|
---|---|---|
Article Number | 01025 | |
Number of page(s) | 12 | |
Section | Coastal and Offshore Engineering | |
DOI | https://doi.org/10.1051/matecconf/201820301025 | |
Published online | 17 September 2018 |
Prediction of dynamic responses of floating structures using NARX with mirroring technique
Department of Civil and Environmental Engineering, Universiti Teknologi PETRONAS,
32610 Seri Iskandar,
Malaysia
* Corresponding author: ruly_17005131@utp.edu.my
Displacements, velocities and accelerations of Six Degree of freedom of a single floating structure was predicted using Time Series NARX feedback neural Networks. The nonlinear autoregressive network with exogenous inputs (NARX) is a recurrent dynamic network, with feedback connections enclosing several layers of the network is based on the linear ARX model, which is commonly used in time-series modelling is used in this study. Time series data of displacements of a single floating structure was used for training and testing the ANN model. In the training stage, this time series data of environment parameters was used as input and dynamic responses was used as target. Benchmarking result and error prediction was compared between two techniques of Neural Network training. The prediction result of the model responses can be concluded that NARX with mirroring technique increase the accuracy and can be used to predict time series of dynamic responses of floating structures.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.