Self-organizing feature-map-based fuzzy system

Mu Chun Su, Chee Yuen Tew

研究成果: 會議貢獻類型會議論文同行評審

4 引文 斯高帕斯(Scopus)

摘要

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.

原文???core.languages.en_GB???
頁面20-25
頁數6
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 200027 7月 2000

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???event.eventtypes.event.conference???International Joint Conference on Neural Networks (IJCNN'2000)
城市Como, Italy
期間24/07/0027/07/00

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