Abstract: This paper presents a method of building expert systems with fuzzy-neural technology’（FNT method）. The domain knowledge is represented by fuzzy rules and membership functions. WithFNT method, these fuzzy rules and membership functions are derived into a layered neural networkwhichs is then trained by back-propagation algorithm to modify the membership functions and refinefoe fuzzy rules. Finally, the updated fuzzy rules and membership functions are derived out from theneural network to interpret intern31 representation and operations of the neural network. The expertsystems thus built can implement fast inference without rule matching process and have the learningability.