Research on Inverse Wave-making and Wave-absorbing Control Method Based on Neural Network
Aiming at the wave energy dissipation problem in ocean engineering,an inverse wave-making and wave absorbing control method based on neural network is proposed in this paper.The PyTorch open-source machine learning library is used to construct a neural network model and obtain the mapping relationship between intelligences and waves.This model can predict the motion speed of the wave maker through a large amount of data training.According to the predicted speed of the neural network model,this model actively controls the wave maker to generate the reverse wave with the opposite phase to the incoming wave,achieving the effect of wave dissipation.The model validation results show that the prediction results of this method have a well-fitting effect on the actual values,and can be applied to different wave generators,which will provide a new solution idea for the wave energy dissipation problem in ocean engineering.
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