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