This document summarizes a research paper that proposes using a Hopfield neural network to generate switching angles for selective harmonic elimination (SHE) in an H-bridge inverter. The paper first describes the conventional Newton-Raphson method for calculating switching angles to eliminate specific harmonics. It then introduces using a Hopfield neural network as an alternative method that has advantages like faster response time and ability to dynamically adjust the switching angles. The paper outlines the Hopfield neural network algorithm and compares simulation results between the two methods, showing the neural network approach produces switching angles that achieve similar harmonic elimination as the conventional method.