Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/104595
DC FieldValue
dc.titleNeural three-valued-logic networks
dc.contributor.authorChan, S.C.
dc.contributor.authorHsu, L.S.
dc.contributor.authorBrody, S.
dc.contributor.authorTeh, H.H.
dc.date.accessioned2014-10-28T02:51:24Z
dc.date.available2014-10-28T02:51:24Z
dc.date.issued1989
dc.identifier.citationChan, 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.urihttp://scholarbank.nus.edu.sg/handle/10635/104595
dc.description.abstractSummary 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.sourceScopus
dc.typeConference Paper
dc.contributor.departmentINFORMATION SYSTEMS & COMPUTER SCIENCE
dc.contributor.departmentMATHEMATICS
dc.description.sourcetitleIJCNN Int Jt Conf Neural Network
dc.description.page594-
dc.identifier.isiutNOT_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.