Determining pre-mark angles on a projectile to hit an air target using neural network

The proper angle of launching air defense balls is very important in the probability of the projectile hitting the air target. If the projectile hits the air target, defense costs are saved and damage is not allowed by the enemy. In other words, the ability to hit the target is mainly The reason for cost reduction is essential for modern air cannon systems. The purpose of determining the pre-aiming angles of a projectile is the initial orientation of a bullet firing system in order to hit the intended target, which is addressed in fire control issues, in such a way that the required information is given to the fire control system, and the system after analysis The information selects the most suitable angle and fires the projectile at the target. In this research, we are looking for a solution to determine the pre-target angles of a projectile to hit an aerial target, or in other words, to control the fire to hit an air defense ball on the target. In order to prevent further damage by the enemy while reducing defense costs. In this regard, the problem is first examined in two-dimensional mode, then the problem is considered in three dimensions, in order to calculate the most suitable angle in the fastest time, MLP neural network will be used in this research.