A SOM-based fuzzy system and its application in handwritten digit recognition

Mu Chun Su, E. Lai, Chee Yuen Tew

研究成果: 書貢獻/報告類型會議論文篇章同行評審

8 引文 斯高帕斯(Scopus)

摘要

The paper presents a neuro-fuzzy system by using Kohonen's self-organizing feature map algorithm, not only for its vector quantization 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 parameter setting and fine-tuning the parameters of the system. Application of the proposed fuzzy systems in optical handwritten digit recognition is reported. High recognition rates can be achieved.

原文???core.languages.en_GB???
主出版物標題Proceedings - International Symposium on Multimedia Software Engineering
發行者Institute of Electrical and Electronics Engineers Inc.
頁面253-258
頁數6
ISBN(電子)0769509339, 9780769509334
DOIs
出版狀態已出版 - 2000
事件International Symposium on Multimedia Software Engineering, MSE 2000 - Taipei, Taiwan
持續時間: 11 12月 200013 12月 2000

出版系列

名字Proceedings - International Symposium on Multimedia Software Engineering

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???International Symposium on Multimedia Software Engineering, MSE 2000
國家/地區Taiwan
城市Taipei
期間11/12/0013/12/00

指紋

深入研究「A SOM-based fuzzy system and its application in handwritten digit recognition」主題。共同形成了獨特的指紋。

引用此