A Neuro-Fuzzy Approach to Medical Diagnosis Expert Systems

機構典藏 > College of Engineering > Graduate Institute & Department of Electrical Engineering > Journal Article > Item 987654321/46261

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/46261

Title:	A Neuro-Fuzzy Approach to Medical Diagnosis Expert Systems
Authors:	Su, Mu-chun
Contributors:	淡江大學電機工程學系
Date:	1996-04
Issue Date:	2010-03-26 21:45:25 (UTC+8)
Publisher:	Singapore: World Scientific Publishing Co. Pte. Ltd.
Abstract:	There has been growing interest and activity in the area of medical decision making, especially in the last 20 years. As it has been pointed out by many authors [Adl86, Hay90, San92, Wan91], fuzzy set theory and neural nets have a number of properties that make them suitable for formalizing the uncertain information upon which medical diagnosis and treatment is usually based. Generalizing the earlier results of the ﬁrst author [Ekl92], we provide a formal model of this process using the neuro-fuzzy theory, and illustrate our approach on a two-symptom artiﬁcial disease.
Relation:	Biomedical engineering: applications basis communications 8(2), pp.24-30
Appears in Collections:	[Graduate Institute & Department of Electrical Engineering] Journal Article

Files in This Item:

There are no files associated with this item.