Rule-based mostly machine learning is a standard time period for just about any machine learning process that identifies, learns, or evolves "regulations" to keep, manipulate or apply understanding. The defining attribute of the rule-primarily based machine learning algorithm is the identification and utilization of a set of relational regulations