Method for predicting motion attitude of ship at target point location based on artificial neural network

The invention discloses a method for predicting the motion attitude of a ship at a target point location based on an artificial neural network. The method comprises the following four steps of: 1, selecting feature vectors and acquiring data; 2, data preprocessing; 3, establishing a model; and 4, model training and testing. According to the method, aiming at the sensitivity of the output efficiency and the working safety of the drag suction dredger to the motion attitude in the construction process, the motion attitude of a target point location is forecasted in advance without being limited by time sequence/continuous data on a set dredging route based on an artificial neural network model and by combining the environmental data measured by a shipborne unmanned aerial vehicle as input; the optimal construction judgment is made, and a new thought is provided for improving the construction efficiency of the drag suction dredger, reducing damage to the drag suction dredger due to environmental factors in the co