Ship sailing speed directly affects ship sailing safety and route planning effect.Therefore,a mathematical model of ship sailing speed estimation based on improved neural network is established to improve ship sailing speed estima-tion effect.The position coding mechanism is used to encode and process the relevant data of wind speed and ship heading speed with wave height.In the CODEC convolutional neural network,self-attention mechanism is introduced to improve the CODEC convolutional neural network.Using the coded ship speed training data,the improved neural network is trained and the mathematical model of ship speed estimation is established.In this model,the ship speed test data after coding is input,the ship speed data features are extracted by self-attention mechanism,and the redundant features are eliminated by self-at-tention distillation.Through the full connection layer,the ship speed data characteristics are processed,and the ship speed es-timation results are output.Experimental results show that the model can effectively extract the characteristics of ship speed data.The model can accurately estimate ship speed.Under different waves,the determination coefficients of the model are higher,that is,the estimation accuracy is higher.
关键词
改进神经网络/船舶航行/速度估计/数学模型/位置编码/自注意力机制
Key words
improved neural network/navigation of ships/velocity estimation/mathematical model/location cod-ing/self-attention mechanism
维普
万方数据