Year: 2019
Type: conference-paper
Abstract: The problem of knowledge acquisition for the air combat of fighter is studied, and a way to acquire knowledge from massive flight parameters data is put forward. First, expert system of air combat is built; then for flight maneuver knowledge extraction, a method based on grey wolf optimization (GWO) is proposed, in order to obtain simple and effective knowledge, and design a new evaluation function of the GWO algorithm. Finally, the simulation results of horizontal right turn and single plane loop verify that the knowledge extraction method of flight maneuver is effective and feasible.
Authors: Changqiang Huang, Zhenglei Wei, Yuanzhi Yang, Shuo Ku, Hongpeng Zhang
Institution: Air Force Engineering University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W2989007673