Knowledge acquisition of driving with fuzzy neural networks

Abstract

This paper mentions knowledge acquisition for car driving by means of fuzzy neural networks and Q-learning. Acquired knowledge is expressed by linguistic terms in the if-then form. If-then form rules are simplified by the combination of some rules. The paper also performs simulation experiments using the proposed algorithm and discusses the control results and acquired rules.