Time Series Prediction Methods for Depth-Averaged Current Velocities of Underwater Gliders
In this paper, we propose time series prediction methods for depth-averaged current velocities (DACVs) of underwater gliders.Based on lock shock and barrel art historical DACV data, these methods can predict the DACVs of future profiles with good performance.Regarding DACVs as time series, we use backpropagation neural network and least squares sup