Ship speed prediction and safety speed control method based on big data mining

The invention relates to a ship speed prediction and safe speed control method based on big data mining. The method comprises the following steps: firstly, collecting a sample database of multiple influence factors influencing ship navigation in a plain river network channel; then, constructing a full-connection deep learning neural network model, and optimizing initial parameters by taking prediction precision as a control target; by adopting the optimized full-connection deep learning neural network model, carrying out comparative analysis on the prediction precision of the multiple influence factors under different combinations, and selecting the combination of the optimal influence factors; on the basis of a data sample of the combination of the optimal influence factors, compiling a genetic programming algorithm program by adopting Python, optimizing core parameters by taking prediction precision as a target, and obtaining a parameter combination with the optimal precision; substituting the parameter com