Learning efficiency improvement of fuzzy CMAC by aitken acceleration method

Chin Ming Hong, Chih Ming Chen, Hung Yu Chien*

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

摘要

Fuzzy CMAC (FCMAC) was developed by Ker in 1997 [4] and it has advantages in terms of simple learning structure, fast convergence speed, easy implementation by hardware and the preservation of derivative information. It has been successfully applied to control field. To enhance on-line learning ability of FCMAC [7], this study presents a learning efficiency improvement approach based on Aitken acceleration method for fuzzy CMAC (FCMAC). This approach employs the forecast ability of Aitken acceleration method to shorten the training time as well as promote the learning accuracy of FCMAC. The experimental results show that the proposed Aitken acceleration method not only help FCMAC to promote the learning convergence speed, but also has more accurate learning ability than the original FCMAC.

原文英語
主出版物標題17th International Conference on Software Engineering and Knowledge Engineering, SEKE 2005
頁面556-559
頁數4
出版狀態已發佈 - 2005
事件17th International Conference on Software Engineering and Knowledge Engineering, SEKE 2005 - Taipei, 臺灣
持續時間: 2005 七月 142005 七月 16

其他

其他17th International Conference on Software Engineering and Knowledge Engineering, SEKE 2005
國家/地區臺灣
城市Taipei
期間2005/07/142005/07/16

ASJC Scopus subject areas

  • 軟體

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