Title :
Probabilistic neural-logic networks
Author :
Teh, H.H. ; Chan, S.C. ; Hsu, L.S. ; Loe, K.F.
Author_Institution :
Nat. Univ. of Singapore, Singapore
Abstract :
Summary 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 ideal 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.<>
Keywords :
inference mechanisms; neural nets; pattern recognition; probability; logical reasoning; neural network; pattern matching; probabilistic neural logic networks; probability; Inference mechanisms; Neural networks; Pattern recognition; Probability;
Conference_Titel :
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location :
Washington, DC, USA
DOI :
10.1109/IJCNN.1989.118401