@inproceedings{scholars9977,
         journal = {MATEC Web of Conferences},
       publisher = {EDP Sciences},
           title = {Prediction of dynamic responses of floating structures using NARX with mirroring technique},
          volume = {203},
            note = {cited By 2; Conference of 2018 International Conference on Civil, Offshore and Environmental Engineering 2018, ICCOEE 2018 ; Conference Date: 13 August 2018 Through 14 August 2018; Conference Code:140464},
            year = {2018},
             doi = {10.1051/matecconf/201820301025},
            issn = {2261236X},
          author = {Irawan, R. and Liew, M. S. and Ali, M. O. A. and Al Yacouby, A. M.},
        keywords = {Degrees of freedom (mechanics); Dynamic response; Environmental engineering; Forecasting; Neural networks; Offshore oil well production; Time series, Error prediction; Feedback connection; Floating structures; Neural network training; Nonlinear Autoregressive Network with exogenous inputs; Six degree-of-freedom; Time-series modelling; Training and testing, Network layers},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85055498257&doi=10.1051\%2fmatecconf\%2f201820301025&partnerID=40&md5=6c9d8325fc6a8d87444da66b5a107309},
        abstract = {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. {\^A}{\copyright} The Authors, published by EDP Sciences, 2018.}
}