Automatic diagnosis with genetic algorithms and case-based reasoning

被引:27
作者
Guiu, JMGI [1 ]
Ribé, EGI [1 ]
Mansilla, EBI [1 ]
Fàbrega, XLI [1 ]
机构
[1] URL, Comp Sci Dept, Enginyeria & Arquitectura La Salle, Barcelona 08022, Catalonia, Spain
来源
ARTIFICIAL INTELLIGENCE IN ENGINEERING | 1999年 / 13卷 / 04期
关键词
machine learning; genetic algorithms; case-based reasoning; classifier systems; automatic classification; diagnosis; breast cancer;
D O I
10.1016/S0954-1810(99)00009-6
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article describes the application of Machine Learning (ML) techniques to a real world problem: the Automatic Diagnosis (classification) of Mammary Biopsy Images. The techniques applied are Genetic Algorithms (GA) and Case-Based Reasoning (CBR). The article compares our results with previous results obtained using Neural Networks (NN). The main goals are: to efficiently solve classification problems of such a type and to compare different alternatives for Machine Learning. The article also introduces the systems we developed for solving this kind of classification problems: Genetic Based Classifier System (GeB-CS) for a GA approach, and Case-Based Classifier System (CaB-CS) for a CBR approach. (C) 1999 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:367 / 372
页数:6
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