This paper constructs an operant conditioning learning system based on fuzzy and probabilistic automata, which used for on-line self-learning of fuzzy rules. The learning system can learn its rules on line by interaction with environment, and achieve the best rule consequent. The probability cans grantee the global superiority of learning mechanism. The fuzzy inference can improve the robustness and rapidity and of learning. Furthermore, we adopt two fuzzy control structure in order to avoid rule explosion pr…
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