Title :
Temporal neural logic networks
Author :
Teh, H.H. ; Hsu, L.S. ; Chan, S.C. ; Loe, K.F.
Author_Institution :
Nat Univ. of Singapore, Singapore
Abstract :
Neural logic networks are generalized to cater to logical systems where the validity of rules and facts changes with time. To construct a temporal network, the validity of rules and facts is collected at a selection of time instances to determine the connecting weights of the respective instances. The weight of the temporal network is then defined as functions that would produce the known values when the proper time is substituted. Three theorems on temporal pattern recognition are proved
Keywords :
neural nets; pattern recognition; temporal logic; facts; pattern recognition; rules; temporal neural logic networks; Artificial neural networks; Calculus; Concurrent computing; Engines; Expert systems; Hybrid intelligent systems; Joining processes; Logic; Neural networks; Pattern recognition;
Conference_Titel :
Tools for Artificial Intelligence, 1990.,Proceedings of the 2nd International IEEE Conference on
Conference_Location :
Herndon, VA
Print_ISBN :
0-8186-2084-6
DOI :
10.1109/TAI.1990.130365
