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Deep-time-delay-reservoir-computing
Deep-time-delay-reservoir-computing PublicReference: Mirko Goldmann, Felix Köster, Kathy Lüdge, and Serhiy Yanchuk , "Deep time-delay reservoir computing: Dynamics and memory capacity", Chaos: An Interdisciplinary Journal of Nonlinear Scie…
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Reservoir-Computing-based-on-Mackey-Glass-system-with-state-noise
Reservoir-Computing-based-on-Mackey-Glass-system-with-state-noise PublicReference: L. Appeltant, M. Soriano, and G. Sande, et al. “Information processing using a single dy-namical node as complex system,”Nat Commun., vol. 13, no. 2, 468, September 2011. DOI:10.1038/nco…
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H_lag_memory_capacity_in_time_delay_reservoirs_based_on_Mackey_Glass_system
H_lag_memory_capacity_in_time_delay_reservoirs_based_on_Mackey_Glass_system PublicReference: Grigoryeva, L., Henriques, J., Larger, L. et al. Optimal nonlinear information processing capacity in delay-based reservoir computers. Sci Rep 5, 12858 (2015). https://doi.org/10.1038/sr…
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Echo-State-Network
Echo-State-Network PublicReference: H. Jaeger, “The “echo state” approach to analysing and training recurrent neural networks,”GMD Report, vol. 148, no. 34, pp. 13, January 2001.
MATLAB 1
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matlab-mnist-two-layer-perceptron
matlab-mnist-two-layer-perceptron PublicForked from davidstutz/matlab-mnist-two-layer-perceptron
A two layer perceptron implemented in MatLab to recognize handwritten digits based on the MNIST dataset.
MATLAB
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