The Output Prediction of a Boost DC-DC Converter Using Machine Learning Approaches

Abstract

A boost DC to DC converter is a converter with an output voltage greater than the input voltage. A boost converter is also known as a step-up converter since it “steps up” the input voltage. The paper shows the connection between boost DC-DC transistor converters and machine learning approaches. From machine learning approaches we used classification i.e., decision trees techniques. In the paper we define the boost converter and gave its equation. Then the database was described and the way we used WEKA for output prediction. At the end we discussed the obtained results.