188宝金博页面版

  • 图案背景
  • 纯色背景
视图
标记
批注
批注本地保存成功，开通会员云端永久保存 去开通
liqianqian..

上传于：2015-12-31

粉丝量：0

该文档贡献者很忙，什么也没留下。


  • 相关
  • 目录
  • 笔记
  • 书签

188宝金博页面版:更多相关文档

  • 【精品】Converting a rule-based expert system into a belief network

    星级： 25 页

  • Converting a rule-based expert system into a belief network

    星级： 25 页

  • converting a rule-based expert system into a belief network

    星级： 25 页

  • [精品]A belief net (BN),

    星级： 3 页

  • into a

    星级： 11 页

  • into a

    星级： 11 页

  • A rule-based

    星级： 12 页

  • Rule-based Expert Systems

    星级： 44 页

  • Rule-based Expert Systems

    星级： 44 页

  • Rules, Rule-based Expert Systems

    星级： 5 页

  • rule-based expert systems

    星级： 30 页

  • rules, rule-based expert systems

    星级： 5 页

  • Rule-based Expert Systems

    星级： 11 页

  • Rule-Based Expert Systems

    星级： 28 页

  • a fall into a pit

    星级： 2 页

暂无目录

点击鼠标右键菜单,创建目录

    暂无笔记

    选择文本，点击鼠标右键菜单，添加笔记

    暂无书签

    在左侧文档中，点击鼠标右键，添加书签

    188宝金博页面版: 【精品】Converting a rule-based expert system into a belief network

    下载积分： 800

    内容提示： Converting a Rule-based Expert System into aBelief Network?M. Korver & P.J.F. LucasDepartment of Computer Science, Utrecht UniversityP.O. Box 80.0893508 TB Utrecht, The Netherlandse-mail: lucas@cs.uu.nlAbstractThe theory of belief networks offers a relatively new approach for dealing with uncertaininformation in knowledge-based (expert) systems. In contrast with the heuristic tech-niques for reasoning with uncertainty employed in many rule-based expert systems, thetheory of belief networks is mathematical...

    文档格式：PDF | 页数：25 | 浏览次数：7 | 上传日期：2015-12-31 23:34:32 | 文档星级：
    Converting a Rule-based Expert System into aBelief Network∗M. Korver & P.J.F. LucasDepartment of Computer Science, Utrecht UniversityP.O. Box 80.0893508 TB Utrecht, The Netherlandse-mail: lucas@cs.uu.nlAbstractThe theory of belief networks offers a relatively new approach for dealing with uncertaininformation in knowledge-based (expert) systems. In contrast with the heuristic tech-niques for reasoning with uncertainty employed in many rule-based expert systems, thetheory of belief networks is mathematically sound, based on techniques from probabilitytheory. It therefore seems attractive to convert existing rule-based expert systems intobelief networks. In this article, we discuss the design of a belief network reformulationof the diagnostic rule-based expert system HEPAR. For the purpose of this experiment,we have studied several typical pieces of medical knowledge represented in the HEPARsystem. It turned out that, due to the differences in the type of knowledge representedand in the formalism used to represent uncertainty, much of the medical knowledge re-quired for building the belief network concerned could not be extracted from HEPAR. Asa consequence, significant additional knowledge acquisition was required. However, theobjects and attributes defined in the HEPAR system, as well as the conditions in produc-tion rules mentioning these objects and attributes were useful for guiding the selectionof the statistical variables for building the belief network. The mapping of objects andattributes in HEPAR to statistical variables is discussed in detail.Keywords & Phrases: medical expert systems, belief networks, causal graphs, decisionsupport systems.1IntroductionIn heuristic, diagnostic expert systems, knowledge from a given domain is typically representedin the form of production rules, or rules for short. To express uncertainty in the domain, eachconclusion of a rule is associated with a measure of confidence in its correctness. The exactmeaning of such non-probabilistic measures of uncertainty usually is not clearly defined.An example of a method for handling uncertainty frequently applied in rule-based expertsystems is the certainty-factor model developed by E.H. Shortliffe and B.G. Buchanan for the(E)MYCIN system [24, 1]. Certainty factors can be given a probabilistic interpretation, but∗Published in: Medical Informatics, 18(3): 219–241, 1993 (also: 1994 Yearbook of Medical Informatics).1

    阅读了该文档的用户还阅读了这些文档

    188宝金博页面版:关于我们

    188宝金博页面版:帮助中心

    188宝金博页面版:关注我们

    • 新浪微博

    关注188宝金博页面版公众号

    188宝金博页面版
    阅读
    APP
    阅读
    返回
    顶部
    188宝金博页面版官网登录在线平台入口（2026已更新）—江苏协昌电子科技股份有限公司