基于ANFIS的一类免疫聚类建模方法的研究  

Study on Artificial Immune Clustering of ANFIS Modeling

作　　者：冯苹苹[1] 屈宝存[1] 李烨[1] 

机构地区：[1]辽宁石油化工大学信息与控制工程学院,辽宁抚顺11300

出　　处：《当代化工》2013年第9期1341-1343,共3页Contemporary Chemical Industry

摘　　要：针对复杂的非线性系统较难建立精确的数学模型这一难题,提出一种基于模糊推理系统的(ANFIS)自适应方法方法对系统进行建模。建模过程中为了给ANFIS赋合适初始值,选用人工免疫聚类算法对输入数据进行处理。最后利用MATLAB离线对一种非线性系统的进行实验仿真,仿真结果表明了该方法的有效性。The modeling approach based on ANFIS system was presented to found the systems’ accurate mathematical models.For giving an appropriate primitive value,the artificial immune clustering was used to deal with the input data.The results were compared with those obtained by using conventional ANFIS network.It was found that the new model is better than conventional ANFIS model.

关 键 词：ANFIS 人工免疫聚类 建模 

分 类 号：TQ018[化学工程]