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《JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY》 1995-03
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Hybrid Knowledge Model and Its Implementation in a Diagnostic Expert System

Cao Yuanda;Zhou Qing (Institute of Artificial Intelligence, Beijing Institute of Technology, Beijing 100081)  
describes a model of integrating shallow and deep knowledge in a diagnostic expert system This approach combines empirical knowledge and knowledge about functions or structure of a diagnosticobject organically and complementarily. The substantial advantage of this approach lies in its efficiency and reliability.
【CateGory Index】: TP18
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【References】
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【Co-references】
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1 Zhang Kaizeng;Xu Xiuqin(North China Institute of Technology)(Institute No.202);THE DYNAMIC CHARACTERISTICS TEST & IDENTIFICATION OF SERVO SYSTEM ON LINE[J];兵工学报;1995-03
2 Cao Yuanda;Zhou Qing (Institute of Artificial Intelligence, Beijing Institute of Technology, Beijing 100081);Hybrid Knowledge Model and Its Implementation in a Diagnostic Expert System[J];北京理工大学学报;1995-03
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1 DU Han-guang;LI Can-dong;Syndrom Research Base,Fujian University of Traditional Chinese Medicine;;Solution for bottleneck problem in traditional Chinese medicine diagnosis study[J];中华中医药杂志;2015-04
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