This paper presents a neuro-fuzzy system by using the Kohonen's self-organizing feature map algorithm, not only for its vector quantitization feature, but also for its topological property. This property prevents the proposed neuro-fuzzy system from suffering from a drawback like any of the conventional clustering-algorithm-based fuzzy systems, i.e. the optimal number of clusters or some kind of similarity threshold must be predetermined. Associated with the self-organizing feature-map-based fuzzy system is a hybrid learning algorithm, which is for initial parameters setting and fine-tuning the parameters of the system.
|出版狀態||已出版 - 2000|
|事件||International Joint Conference on Neural Networks (IJCNN'2000) - Como, Italy|
持續時間: 24 7月 2000 → 27 7月 2000
|???event.eventtypes.event.conference???||International Joint Conference on Neural Networks (IJCNN'2000)|
|期間||24/07/00 → 27/07/00|