The invention discloses a node trajectory prediction method and device for an air-
sky-sea-diving unmanned cluster, and belongs to the technical field of mobile ad hoc networks, and the method comprises the steps: collecting data in real time, and carrying out the preprocessing of the data; constructing an unmanned node trajectory prediction model based on a gating circulation unit, a Transform and a width learning
system, and inputting data into a gating circulation unit and Transform parallel
cascade module; performing weighted fusion on module output results, and dynamically adjusting the weight by using a
back propagation algorithm; and finally, the weighted fusion result and the dynamic environment index are input into a width learning
system, the output of the width learning
system outputs a final unmanned node trajectory prediction result through a full connection layer, and the width learning system can dynamically adjust the network width according to the data change. Based on the method provided by the invention, the gating circulation unit and the Transform are cascaded in parallel, the combination of real-
time response and long-term prediction is realized, a wide learning system is introduced to quickly adapt to data distribution change through incremental expansion, and the environmental adaptability of a prediction model is improved.