Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/99562
DC Field | Value | |
---|---|---|
dc.title | Neural three-valued-logic networks | |
dc.contributor.author | Chan, S.C. | |
dc.contributor.author | Hsu, L.S. | |
dc.contributor.author | Brody, S. | |
dc.contributor.author | Teh, H.H. | |
dc.date.accessioned | 2014-10-27T06:05:21Z | |
dc.date.available | 2014-10-27T06:05:21Z | |
dc.date.issued | 1989 | |
dc.identifier.citation | Chan, S.C.,Hsu, L.S.,Brody, S.,Teh, H.H. (1989). Neural three-valued-logic networks. IJCNN Int Jt Conf Neural Network : 594-. ScholarBank@NUS Repository. | |
dc.identifier.uri | http://scholarbank.nus.edu.sg/handle/10635/99562 | |
dc.description.abstract | Summary form only given. The authors propose a novel neural network called neural-logic network which attempts to incorporate both the pattern processing and the logical reasoning capabilities within a single frame of neural network environment. This class of neural networks can model classical 2-valued Boolean logic effectively. In addition, it is an ideal model to study 'human logic' which is multivalued, fuzzy, and biased. A neural application of neural-logic networks is the study of connectionist expert systems. | |
dc.source | Scopus | |
dc.type | Conference Paper | |
dc.contributor.department | INFORMATION SYSTEMS & COMPUTER SCIENCE | |
dc.contributor.department | MATHEMATICS | |
dc.description.sourcetitle | IJCNN Int Jt Conf Neural Network | |
dc.description.page | 594- | |
dc.identifier.isiut | NOT_IN_WOS | |
Appears in Collections: | Staff Publications |
Show simple item record
Files in This Item:
There are no files associated with this item.
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.