Integrating multiple knowledge sources by genetic programming

被引：0
|
作者：
Kuo, Chan-Sheng [1 ]
Hong, Tzung-Pei [2 ,3 ]
Chen, Chuen-Lung [1 ]
机构：
[1] Natl Chengchi Univ, Dept Management Informat Syst, Taipei 116, Taiwan
[2] Natl Univ Kaohsiung, Dept Elect Engn, Kaohsiung 811, Taiwan
[3] Natl Univ Kaohsiung, Dept Comp Sci, Kaohsiung 811, Taiwan
来源：
2007 THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, VOL II, PROCEEDINGS | 2007年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we have proposed a GP-based knowledge-integration framework that automatically combines multiple rule sets into one integrated knowledge base. The proposed framework consists of three phases: knowledge collection and translation, knowledge integration, and knowledge output. Two new genetic operators, abridgement and compromise, are designed in the proposed approach. Experimental results from diagnosis of breast cancer also show the feasibility of the proposed algorithm.
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页码：609 / +
页数：2
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