Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/94127
DC Field | Value | |
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dc.title | KNOWLEDGE REPRESENTATION USING AN AUGMENTED PLANNING NETWORK: APPLICATION TO AN EXPERT SYSTEM FOR PLANNING HPLC SEPARATIONS. | |
dc.contributor.author | Ananda, A.L. | |
dc.contributor.author | Foo, S.M. | |
dc.contributor.author | Gunasingham, Hari | |
dc.date.accessioned | 2014-10-16T08:32:26Z | |
dc.date.available | 2014-10-16T08:32:26Z | |
dc.date.issued | 1988-05 | |
dc.identifier.citation | Ananda, A.L.,Foo, S.M.,Gunasingham, Hari (1988-05). KNOWLEDGE REPRESENTATION USING AN AUGMENTED PLANNING NETWORK: APPLICATION TO AN EXPERT SYSTEM FOR PLANNING HPLC SEPARATIONS.. Journal of Chemical Information and Computer Sciences 28 (2) : 82-86. ScholarBank@NUS Repository. | |
dc.identifier.issn | 00952338 | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/94127 | |
dc.description.abstract | 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. | |
dc.source | Scopus | |
dc.type | Article | |
dc.contributor.department | CHEMISTRY | |
dc.description.sourcetitle | Journal of Chemical Information and Computer Sciences | |
dc.description.volume | 28 | |
dc.description.issue | 2 | |
dc.description.page | 82-86 | |
dc.description.coden | JCISD | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
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