Abstract: In order to solve the difficult modeling problem of the lithopone calcination process, this paper proposes an adaptive neural-fuzzy inference systems(ANFIS) modeling method based on T-S model. Through the structure and parameter identification of fuzzy identification system, the system can converge to the required input-output relationships independently and rapidly. The systems structure and its learning algorithm is discussed. Through simulation research, its practical application value is obtained.