Reduction of Selective Harmonics in PWM AC Chopper Using Artificial Neural Network

This research paper discusses an Artificial Neural Network which has been implemented to solve predictive problems in SPWM AC Chopper instead of considering optimization methods, by utilization of radial basis function which is a subset of artificial neural network (ANN) approaches becomes favorable in obtaining multiple switching angles while maintaining symmetry in both the positive and negative half cycles of the supply voltage waveform.