RLDDE: A novel reinforcement learning-based dimension and delay estimator for neural networks in time series prediction-Reference-Cited by-同舟云学术

RLDDE: A novel reinforcement learning-based dimension and delay estimator for neural networks in time series prediction

Published:2007-03 Issue:7-9 Volume:70 Page:1331-1341
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Liu F.,Ng G.S.,Quek C.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference26 articles.

1. T.A.E. Ferreira, G. C. Vasconcelos, et al., A new evolutionary method for time forecasting, in: Genetic and Evolutionary Computation Conference, Washington, DC, USA, 2005.

2. Time series prediction and neural networks;Frank;J. intell. Robot. Syst.: Theory Appl.,2001

3. Independent coordinates for strange attractors from mutual information;Fraser;Phys. Rev. A,1986

4. Gautama, T., Mandic, D.P., et al. A differential entropy based method for determining the optimal embedding parameters of a signal, in: IEEE International Conference on Acoustics, Speech, and Signal, 2003.

5. Characterization of strange attractors;Grassberger;Phys. Rev. Lett.,1983

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