Machine-Learning Prediction of Underwater Shock Loading on Structures

Due to the complex physics of underwater explosion problems, it is difficult to derive analytical solutions with accurate results. In this study, a machine-learning method to train a back-propagation neural network for parameter prediction is presented for the first time in literature. The specific...

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Hauptverfasser: Mou Zhang, Dimitris Drikakis, Lei Li, Xiu Yan
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2019-10-01
Schriftenreihe:Computation
Schlagworte:
machine learning
neural networks
fluid-structure interaction
explosion
Online Zugang:https://www.mdpi.com/2079-3197/7/4/58
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