Abstract
This paper verifies the improvement of learning parameters by parameter adjustment. In this paper, we used predictive control system using Back Propagation Through Time (BPTT) introduced recurrent RBF networks (RRBFN) and Fuzzy rules. This system constructed from a prediction system and a Fuzzy control system. The prediction system predicts the state of the controlled object on time t+n. The Fuzzy control system controls the controlled object based on the prediction results of the long-term prediction system. We test the proposed method under an outfielder problem in order to investigate its efficiency.
