Clustering Methods in Neuro - Fuzzy Modelling Klasteriz Cijas Metodes Neuro-fuzzy Model Šan
نویسنده
چکیده
A neural network can approximate a function, but it is impossible to interpret the result in terms of natural language. The consolidation of neural networks and fuzzy logic in neurofuzzy models provides learning as well as readability. This paper aims at modeling the input-output relationship with fuzzy IF-THEN rules by using fuzzy clustering technique. The main difference between fuzzy clustering and other clustering techniques is that it generates fuzzy partitions of the data instead of hard partitions. This paper examines two fuzzy-clusterimg algorithms: FCM and subtractive clustering algorithm. The mathematical description of the algorithms employed is given. Some case studies are described.
منابع مشابه
Clustering Methods in Neuro - Fuzzy Modelling Klasterizācijas Metodes Neuro-fuzzy Modelēšanā
A neural network can approximate a function, but it is impossible to interpret the result in terms of natural language. The consolidation of neural networks and fuzzy logic in neurofuzzy models provides learning as well as readability. This paper aims at modeling the input-output relationship with fuzzy IF-THEN rules by using fuzzy clustering technique. The main difference between fuzzy cluster...
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