Method of training a neural network for the guidance of a missile to a target

Abstract

A method of training a neural network for the guidance of a missile to a target includes the steps of: computing a solution of the non-linear guidance problem in analytical form, generating numerical solutions for a number of flights of a virtual missile to a virtual target, determining a human pilot's behavior and of the missile by simulating a number of flights of the virtual missile to a virtual target, and “cloning” a neural or fuzzy-neural network with the knowledge about the guidance of the missile to the target as obtained by the preceding steps. For determining the behavior of the human pilot, a scenario of missile and target is represented. This scenario is transformed into slow-motion. The flight of the missile to the target is simulated in slow-motion, the human pilot guiding the missile to the target. The pilot's behavior and the behavior of the missile resulting therefrom is stored for a number of such simulated flights. The thus stored data are re-transformed into real time. A guidance unit having a neural or fuzzy-neural network is trained with the re-transformed behavior of pilot and missile.