English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 57980/91504 (63%)
造访人次 : 13700753      在线人数 : 46
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻

    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/46261

    题名: A Neuro-Fuzzy Approach to Medical Diagnosis Expert Systems
    作者: Su, Mu-chun
    贡献者: 淡江大學電機工程學系
    日期: 1996-04
    上传时间: 2010-03-26 21:45:25 (UTC+8)
    出版者: Singapore: World Scientific Publishing Co. Pte. Ltd.
    摘要: 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.
    關聯: Biomedical engineering: applications basis communications 8(2), pp.24-30
    显示于类别:[電機工程學系暨研究所] 期刊論文





    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈