A concept learning method based on a hybrid genetic algorithm

被引：1

作者：

Liu, J ^{[1
]}

Li, WH ^{[1
]}

机构：

[1] Wuhan Univ, Dept Comp Sci, Wuhan 430072, Peoples R China

来源：

SCIENCE IN CHINA SERIES E-TECHNOLOGICAL SCIENCES | 1998年 / 41卷 / 05期

关键词：

concept learning; hybrid genetic algorithm; background theory;

D O I：

10.1007/BF02917023

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The learning method to acquire decision rules from a set of preclassified examples is an important research area in machine learning. A novel learning method is proposed, which is a combination of the GAs and the bottom-up induction process. The method was implemented in a system called KAA, The performance of the method was evaluated by applying it to 20-multiplexer problem and the results show that its accuracy is higher than that of the others.

引用

页码：488 / 495

页数：8

共 9 条

[1]

[Anonymous], LNAI

[2] CLASSIFIER SYSTEMS AND GENETIC ALGORITHMS [J].

BOOKER, LB ;

GOLDBERG, DE ;

HOLLAND, JH .

ARTIFICIAL INTELLIGENCE, 1989, 40 (1-3) :235-282

[3]

Brezellec P., 1993, Machine Learning: ECML-93. European Conference on Machine Learning Proceedings, P297

[4]

Falkenhainer B.C., 1990, MACHINE LEARNING ART, P153

[5]

Michalski R. S., 1983, MACH LEARN, P83

[6]

Quinlan J.R., 1986, MACHINE LEARNING APP, V2, P149

[7]

QUINLAN JR, 1984, MACHINE LEARNING ART, V1, P463

[8] GENETIC ALGORITHMS - A SURVEY [J].

SRINIVAS, M ;

PATNAIK, LM .

COMPUTER, 1994, 27 (06) :17-26

[9]

TOSGO L, 1993, LECT NOTES ARTIF INT, V667, P185

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