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|Title:||KNOWLEDGE REPRESENTATION USING AN AUGMENTED PLANNING NETWORK: APPLICATION TO AN EXPERT SYSTEM FOR PLANNING HPLC SEPARATIONS.||Authors:||Ananda, A.L.
|Issue Date:||May-1988||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.||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.||Source Title:||Journal of Chemical Information and Computer Sciences||URI:||http://scholarbank.nus.edu.sg/handle/10635/94127||ISSN:||00952338|
|Appears in Collections:||Staff Publications|
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