文件名称:IFP_FCM
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IFP_FCM,改进型FCM(模糊C均值)聚类算法,由Frank Hoppner与Frank Klawonn于2003年提出,解决了FCM算法对初始值设定较为敏感、训练速度慢、在迭代时容易陷入局部极小的问题。并附带了Box和Jenkins煤气炉数据模型辨识实例。-IFP_FCM, modified FCM (Fuzzy C-Means) clustering algorithm, in 2003, proposed by Frank Hoppner and Frank Klawonn, FCM algorithm to solve the initial value setting is more sensitive, slow training, while iterating easy to fall into local minimum problem. And comes with Box and Jenkins gas furnace model identification data instance.
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下载文件列表
IFP_FCM/box_data.mat
IFP_FCM/distifp_fcm.m
IFP_FCM/IFP_FCM.m
IFP_FCM/IFP_FCM_T_S_box_test.m
IFP_FCM/Improved fuzzy partitions for fuzzy regression models.pdf
IFP_FCM/initifp_fcm.m
IFP_FCM/stepifp_fcm.m
IFP_FCM/文件清单.txt
IFP_FCM
IFP_FCM/distifp_fcm.m
IFP_FCM/IFP_FCM.m
IFP_FCM/IFP_FCM_T_S_box_test.m
IFP_FCM/Improved fuzzy partitions for fuzzy regression models.pdf
IFP_FCM/initifp_fcm.m
IFP_FCM/stepifp_fcm.m
IFP_FCM/文件清单.txt
IFP_FCM
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