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Please use this identifier to cite or link to this item: https://doi.org/10.1021/ci00058a008
DC FieldValue
dc.titleKnowledge representation using an augmented planning network: Application to an expert system for planning HPLC separations
dc.contributor.authorAnanda, A.L.
dc.contributor.authorFoo, S.M.
dc.contributor.authorGunasingham, H.
dc.date.accessioned2014-06-23T05:42:42Z
dc.date.available2014-06-23T05:42:42Z
dc.date.issued1988
dc.identifier.citationAnanda, A.L., Foo, S.M., Gunasingham, H. (1988). 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. https://doi.org/10.1021/ci00058a008
dc.identifier.issn00952338
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/76429
dc.description.abstractThe 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 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. © 1988 American Chemical Society.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentCHEMISTRY
dc.description.doi10.1021/ci00058a008
dc.description.sourcetitleJournal of Chemical Information and Computer Sciences
dc.description.volume28
dc.description.issue2
dc.description.page82-86
dc.identifier.isiutNOT_IN_WOS
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