Resources

This page is intended to contain links to datasets and software tools, developed and made available as part of my research activity.

Software

Deep Echo State Networks (DeepESN)

Tensorflow 2 - Keras https://github.com/gallicch/DeepRC-TF

Matlab Toolbox DeepESN2018a: Deep Echo State Network (DeepESN) Matlab Toolbox v1.0

Reference paper: C. Gallicchio, A. Micheli, L. Pedrelli, "Deep Reservoir Computing: A Critical Experimental Analysis", Neurocomputing, 2017, vol. 268, pp. 87-99

Datasets

Datasets on Sequences

• Laser Dataset (laser)

  • Available in .csv format [link], according to the task description provided in [1].

  • Dataset reference is the following:

  • Weigend, A., & Gershenfeld, N. (1994). Time series prediction: forecasting the future and understanding the past. Addison-Wesley.

• 10th order NARMA system (narma10)

  • Available in .csv format [link], according to the task description provided in [1].

• Memory Capacity with max reservoir size of 100 (mc100)

  • Available in .csv format [link], according to the task description provided in [2] and [3].

References

[1] C. Gallicchio, A. Micheli, "Architectural and Markovian factors of echo state networks", Neural Networks, Elsevier, vol. 24(5), pp. 440-456, DOI: 10.1016/j.neunet.2011.02.002, ISSN: 0893-6080, 2011.

[2] C. Gallicchio, A. Micheli, "Echo State Property of Deep Reservoir Computing Networks", Cognitive Computation, Springer, vol. 9(3), pp. 337-350 (2017), DOI: 10.1007/s12559-017-9461-9, ISSN: 1866-9964

[3] C. Gallicchio, A. Micheli, L. Pedrelli, "Deep Reservoir Computing: A Critical Experimental Analysis", Neurocomputing (2017), DOI: 10.1016/j.neucom.2016.12.089