Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/104611
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dc.titleProbabilistic neural-logic networks
dc.contributor.authorTeh, H.H.
dc.contributor.authorChan, S.C.
dc.contributor.authorHsu, L.S.
dc.contributor.authorLoe, K.F.
dc.date.accessioned2014-10-28T02:51:34Z
dc.date.available2014-10-28T02:51:34Z
dc.date.issued1989
dc.identifier.citationTeh, H.H.,Chan, S.C.,Hsu, L.S.,Loe, K.F. (1989). Probabilistic neural-logic networks. IJCNN Int Jt Conf Neural Network : 600-. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/104611
dc.description.abstractSummary form only given. Recently, a novel class of networks called neural-logic networks was proposed by the authors' research group to integrate the logical reasoning capability with the concepts and techniques of the conventional neural network approach. The objective of this study is to extend the idea of the neural-logic network model to incorporate the theory of probability. This model will be able to predict the probability that the matching pattern or the possible set of solutions are correct. This gives the user an indication of the degree of reliability of the conclusion.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentINFORMATION SYSTEMS & COMPUTER SCIENCE
dc.contributor.departmentMATHEMATICS
dc.description.sourcetitleIJCNN Int Jt Conf Neural Network
dc.description.page600-
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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