Theory and Simulation of Electromagnetic Systems Governed by Machine Learning Principles

Nieto-Chaupis H. · International Conference on Electrical, Computer, and Energy Technologies, ICECET 2022 (2022) · DOI: 10.1109/icecet55527.2022.9872605

Resumen

This paper proposes the idea that electromagnetic systems can be formulated through probabilities once the system has been understood by the classical physics. With this, several physical observables are estimated. Also, with the diffusion equation, electrical circuits can be constructed. Thus, it is seen that classical electrodynamics dictated by action to distance forces, can be encompassed to the so-called Mitchell's criteria. It has as consequence the validation of common problems in electromagnetism based at space-time probabilities more than the well-known methodologies based at vector algebra. Simulations of electric power contour plots are presented.

Instituciones: Universidad Autónoma del Perú