KNOWLEDGE REPRESENTATION USING AN AUGMENTED PLANNING NETWORK - APPLICATION TO AN EXPERT SYSTEM FOR PLANNING HPLC SEPARATIONS

被引：9

作者：

ANANDA, AL ^{[1
]}

FOO, SM ^{[1
]}

GUNASINGHAM, H ^{[1
]}

机构：

[1] NATL UNIV SINGAPORE,DEPT CHEM,SINGAPORE 0511,SINGAPORE

来源：

JOURNAL OF CHEMICAL INFORMATION AND COMPUTER SCIENCES | 1988年 / 28卷 / 02期

关键词：

ARTIFICIAL INTELLIGENCE - Expert Systems - SEPARATION;

D O I：

10.1021/ci00058a008

中图分类号：

O6 [化学];

学科分类号：

0703 ;

摘要：

The augmented planning network (APN), which is modeled on the augmented transition network (ATN), is proposed as a convenient structure for representing the knowledge of an expert system for planning HPLC (high-performance liquid chromatography) separations. The advantage of the APN is realized in its inherent flexibility in handling preconditions, meta-knowledge (or control knowledge), and procedural inferencing. The internal structure of the APN is also presented.

引用

页码：82 / 86

页数：5

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