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

页码：367 / 372

页数：6

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