This study shows the results of investigations to determine harmonics in electrical current through the use of Artificial Neural Networks (ANN) using the methods of Feedforward-Backpropagation through a generator of electrical signals in C# (C Sharp). We studied the causes of current harmonics, what a re its implications in everyday work and filters to attenuate these harmonics. For generation of harmonics, we implemented a transmitter of electrical signals by software, also developed in C# (C Sharp) so as to obtain raw and real data as possible, in order to perform tests for simulating errors in the signal power that occur in real time and then process this data.It was determined that the best method for the detection of harmonics using Artificial Neural Networks is Feedforward — Backpropagation with supervised training in order to handle the input and output to get a better result.Th...