Wang, CongHill, David2015-12-081045-9227http://hdl.handle.net/1885/29124Recognition of temporal/dynamical patterns is among the most difficult pattern recognition tasks. In this paper, based on a recent result on deterministic learning theory, a deterministic framework is proposed for rapid recognition of dynamical patterns.Keywords: Computer simulation; Convergence of numerical methods; Learning systems; Pattern matching; Synchronization; Deterministic learning; Dynamical pattern recognition; Similarity; Pattern recognition; algorithm; article; artificial intelligence; artificial neu Deterministic learning; Dynamical pattern recognition; Representation; Similarity; Synchronization200710.1109/TNN.2006.8894962015-12-08