COMPREHENSIVE ANALYSIS ON POWER ELECTRONIC SYSTEMS IN RELATION WITH MACHINE LEARNING

This article provides an outline of implementations for controlling electronic systems in the field of artificial intelligence. The three distinctive phases of the life cycle, architecture, control and management, are linked to one or more activities for AI, including the optimization, classification, regression and exploration of the data structure. The implementations of machine learning are addressed and evaluated to recognize shared understandings, practical difficulties in implementing the ML for power electronics and study opportunities.