Temporal neural logic networks

H.H. Teh; L. S. Hsu; S.C. Chan; K. F. Loe

doi:10.1109/tai.1990.130365

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Temporal neural logic networks

H.H. Teh L. S. Hsu S.C. Chan K. F. Loe

Year: 2002 Journal: [1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence Vol: 1 Pages: 372-376

DOI: 10.1109/tai.1990.130365

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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:

Artificial neural network Temporal logic Construct (python library) Computer science Artificial intelligence Selection (genetic algorithm) Theoretical computer science Programming language

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Constraint Satisfaction and Optimization

Physical Sciences → Computer Science → Computer Networks and Communications

Rough Sets and Fuzzy Logic

Physical Sciences → Computer Science → Computational Theory and Mathematics

Data Management and Algorithms

Physical Sciences → Computer Science → Signal Processing

Temporal neural logic networks

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