Buch ; Online: Operator Guidance Informed by AI-Augmented Simulations
2023
Abstract: This paper will present a multi-fidelity, data-adaptive approach with a Long Short-Term Memory (LSTM) neural network to estimate ship response statistics in bimodal, bidirectional seas. The study will employ a fast low-fidelity, volume-based tool ... ...
| Abstract | This paper will present a multi-fidelity, data-adaptive approach with a Long Short-Term Memory (LSTM) neural network to estimate ship response statistics in bimodal, bidirectional seas. The study will employ a fast low-fidelity, volume-based tool SimpleCode and a higher-fidelity tool known as the Large Amplitude Motion Program (LAMP). SimpleCode and LAMP data were generated by common bi-modal, bi-directional sea conditions in the North Atlantic as training data. After training an LSTM network with LAMP ship motion response data, a sample route was traversed and randomly sampled historical weather was input into SimpleCode and the LSTM network, and compared against the higher fidelity results. Comment: Presented at the 22nd Conference on Computer Applications and Information Technology in the Maritime Industries (COMPIT) in Drubeck, Germany on May 25th, 2023 |
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| Schlagwörter | Computer Science - Artificial Intelligence ; Computer Science - Machine Learning ; Physics - Atmospheric and Oceanic Physics ; Statistics - Applications ; 68T07 ; J.2 |
| Erscheinungsdatum | 2023-07-17 |
| Erscheinungsland | us |
| Dokumenttyp | Buch ; Online |
| Datenquelle | BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl) |
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