Please use this identifier to cite or link to this item:
https://doi.org/10.1021/ci00058a008
| Title: | Knowledge representation using an augmented planning network: Application to an expert system for planning HPLC separations | Authors: | Ananda, A.L. Foo, S.M. Gunasingham, H. |
Issue Date: | 1988 | Citation: | Ananda, 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 | 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 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. | Source Title: | Journal of Chemical Information and Computer Sciences | URI: | http://scholarbank.nus.edu.sg/handle/10635/76429 | ISSN: | 00952338 | DOI: | 10.1021/ci00058a008 |
| Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.