| Popis: |
Knowledge acquisition is the premise of autonomous decision-making and control of UAV. It is difficult to acquire explicit knowledge and tacit knowledge at the same time by current methods. Therefore, this paper uses leapfrog algorithm to study the intelligent acquisition method of UAV maneuver knowledge. Firstly, the paper introduces the typical leapfrog algorithm, determines the characteristic attributes of flight data, designs the frog locations updating policy and fitness assessment approach, so that the number of attributes contained after solving the problem is not too simple or redundant, and carries out the simulation experiment of a typical aircraft maneuver case rule knowledge extraction and bucket action rule knowledge extraction. The simulation results demonstrate that proposed intelligent algorithm can be effectively applied to the acquisition of UAV maneuvering knowledge. |
