articleTop 1% cited
An experimental unification of reservoir computing methods
Neural Networks · 2007 · Vol. 20(3) · pp. 391–403
D. Verstraeten✉(Ghent University)Benjamin Schrauwen(Ghent University)Michiel D’Haene(Ghent University)Dirk Stroobandt(Ghent University)
Neural Networks and Reservoir ComputingAdvanced Memory and Neural ComputingNeural dynamics and brain functionReservoir computingComputer scienceBenchmark (surveying)Recurrent neural networkMeasure (data warehouse)Artificial neural networkNode (physics)Range (aeronautics)Artificial intelligenceTheoretical computer science
MeSH terms
HumansMemoryPattern Recognition, AutomatedInformation Storage and RetrievalNeural Networks, ComputerNonlinear Dynamics
Funding
- Fonds Wetenschappelijk Onderzoek
- Vlaamse regering
Citations
1,105
FWCI
35.51
field-weighted impact
References
77
Percentile
100%
vs. same field & year
Citations per year
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References
Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
Neural Computation · 2002 · 3,940 citations
Collective dynamics of ‘small-world’ networks
Nature · 1998 · 42,581 citations
LSTM recurrent networks learn simple context-free and context-sensitive languages
IEEE Transactions on Neural Networks · 2001 · 724 citations
The Nature of Statistical Learning Theory
Technometrics · 1996 · 4,092 citations
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