[1]王遵亮,吴新根,罗立民.基于遗传算法的肝病诊断学习系统[J].东南大学学报(自然科学版),1999,29(3):106-109.[doi:10.3969/j.issn.1001-0505.1999.03.020]
　Wang Zunliang,Wu Xingen,Luo Limin.A Learning System Based on Genetic Algorithms for Liver Disease Diagnosis[J].Journal of Southeast University (Natural Science Edition),1999,29(3):106-109.[doi:10.3969/j.issn.1001-0505.1999.03.020]
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基于遗传算法的肝病诊断学习系统()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
29
期数:
1999年第3期
页码:
106-109
栏目:
生物医学工程
出版日期:
1999-05-20

文章信息/Info

Title:
A Learning System Based on Genetic Algorithms for Liver Disease Diagnosis
作者:
王遵亮;  吴新根;  罗立民
东南大学生物科学与医学工程系,南京 210096
Author(s):
Wang Zunliang;  Wu Xingen;  Luo Limin
Department of Biomedical Science and Medical Engineering, Southeast University, Nanjing 210096
关键词:
遗传算法;  学习系统;  适应度函数;  专家系统
Keywords:
genetic algorithms;  learning system;  fitness function;  expert system
分类号:
R318
DOI:
10.3969/j.issn.1001-0505.1999.03.020
摘要:
提出一种用遗传算法来构造肝病诊断学习系统的方法,其中引入了肝病领域专家对规则打分的适应度评估机制,通过选择、交叉和交异等遗传操作使知识规则集得到不断地精炼. 最后,用这种方法对模拟的专家知识进行学习,实验结果表明,该方法能使系统比较有效地学习专家知识.
Abstract:
A method which is used to construct a learning system for liver disease diagnosis using genetic algorithms is presented. A new fitness function in which adopted the mechanism that the domain expert evaluates the rules is provided in this method. Through the use of genetic operators-reproduction, crossover and mutation, the rules is gradually refined. Finally, we applied the method in the learning system to learn the experts’ knowledge. The experimental result shows our method can make the learning system to learn domain-experts’ knowledge efficiently. 

参考文献/References:

[1] Goldberg D E.Genetic algorithms in search,optimization and machine learning.New York:Addison-Wesley,1989.217～222
[2] 吴新根,吕维雪.一个用于肝病诊断的连接主义专家系统.生物医学工程学报.1996,15(1):64～65
[3] 蒋大宗,张文修.数值诊断的统计方法.西安:陕西科学技术出版社,1981.11～41

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备注/Memo

备注/Memo:
第一作者:男,1976年生,助教.
更新日期/Last Update: 1999-05-20