標題: | A novel and efficient neuro-fuzzy classifier for medical diagnosis |
作者: | Hong, Chin-Ming Chen, Chih-Ming Chen, Shyuan-Yi Huang, Chao-Yen 電控工程研究所 Institute of Electrical and Control Engineering |
公開日期: | 2006 |
摘要: | This study attempts to propose a novel neuro-fuzzy network which can efficiently reason fuzzy rules based on training data to solve the medical diagnosis problems. First, this study proposes a refined K-means clustering algorithm and a gradient-based learning rules to logically determine and adaptively tuned the fuzzy membership functions for the employed neuro-fuzzy network. In the meanwhile, this study also presents a feature reduction scheme based on the grey-relational analysis to simplify the fuzzy rules obtained from the employed neuro-fuzzy network. Experimental results indicated that the proposed neuro-fuzzy network with feature reduction can discover very simplified and easily interpretable fuzzy rules to support medical diagnosis. |
URI: | http://hdl.handle.net/11536/134476 |
ISBN: | 978-0-7803-9490-2 |
ISSN: | 2161-4393 |
期刊: | 2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10 |
起始頁: | 735 |
結束頁: | + |
顯示於類別: | 會議論文 |