Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/99562
Title: Neural three-valued-logic networks
Authors: Chan, S.C. 
Hsu, L.S. 
Brody, S.
Teh, H.H. 
Issue Date: 1989
Source: 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.
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.
Source Title: IJCNN Int Jt Conf Neural Network
URI: http://scholarbank.nus.edu.sg/handle/10635/99562
Appears in Collections:Staff Publications

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