摘要
针对锌钡白干燥煅烧过程建模难的问题 ,提出了一种基于T S模型的自适应神经模糊推理系统(ANFIS)建模方法 .通过对模糊辨识系统的结构辨识和参数辨识 ,使网络自主、迅速地收敛到要求的输入输出关系 .文章讨论了该网络的结构和学习算法 ,并通过仿真研究得出其良好的实际应用价值 .
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.
出处
《信息与控制》
CSCD
北大核心
2004年第4期472-475,共4页
Information and Control
