Using neural networks to predict the range of projectile motions in viscous medium

The motion of any material body after be launched from some point in Earth surface start to follow a trajectory determined by two different interactions, the gravitational attraction and the resistance to his movement caused by the contact with the molecules of the medium in which it travels. Considering that a huge amount of physics problems remains not even mentioned on physics courses due to the requirements of strong mathematical background or computational effort. The authors propose a new and easier approach to introduce the study of complex problems in introductory physics courses, based on neural networks and machine learning. Through one simple example of classical mechanics with artificial intelligence the authors are supposed to contribute with the introduction of new technologies to physics learning.

Keywords
Projectile motion; horizontal range; neural networks; viscous medium