| dc.contributor.author | Radwan, Ayman Aly | |
| dc.date.accessioned | 2014-11-03T16:09:06Z | |
| dc.date.available | 2014-11-03T16:09:06Z | |
| dc.date.issued | 1992-05-01 | |
| dc.identifier.uri | https://hdl.handle.net/11244/13538 | |
| dc.description.abstract | A connectionist expert system is an expert system whose knowledge base is generated from training examples using an artificial neural network learning technique. Gallant [13] developed a model for a connectionist expert system in which a variable is represented by a node and accepts two values, true or false. This study adopts two approaches to help manage uncertainty in Gallant's model. The first approach is called the random cell method while the second one is the stairstep method. | |
| dc.format | application/pdf | |
| dc.language | en_US | |
| dc.publisher | Oklahoma State University | |
| dc.rights | Copyright is held by the author who has granted the Oklahoma State University Library the non-exclusive right to share this material in its institutional repository. Contact Digital Library Services at lib-dls@okstate.edu or 405-744-9161 for the permission policy on the use, reproduction or distribution of this material. | |
| dc.title | Uncertainty management in connectionist expert system | |
| dc.type | text | |
| osu.filename | Thesis-1992-R132u.pdf | |
| osu.accesstype | Open Access | |
| dc.description.department | Computer Science | |
| dc.type.genre | Thesis | |
