Deterministic Learning and Rapid Dynamical Pattern Recognition
Recognition 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.
|Collections||ANU Research Publications|
|Source:||IEEE Transactions on Neural Networks|
|01_Wang_Deterministic_Learning_and_2007.pdf||1.43 MB||Adobe PDF||Request a copy|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.