Autonomic Learning Model and Algorithm Based on DFL

Autonomic learning (AL) refers to an inner mechanism of self-directed learning integrated by learner´s attitude, capability and learning strategy. AL usually means active, self-conscious and independent learning, which is opposite to the type of passive, mechanical or receptive learning. AL has always been a hot issue of machine learning research. In this paper, based on the theory of dynamic fuzzy logic (DFL), autonomic learning model and algorithm are developed, which provide a theoretical basis for the people to solve this type of problem. Simulation results illustrate the efficiency of this autonomic learning method.