Reservoir Computing

Facilitating RC research

Features

• Nonlinear transient computing (NTC)
• Echo State Networks (ESNs) (upcoming)

Getting Started

Use Stack.

 $ git clone https://github.com/masterdezign/rc.git && cd rc
 $ stack build --install-ghc

Example 1. NTC, time series forecasting

 $ stack exec ntc

 Error: 3.1103181863915367e-3

Visualize the prediction results:

 $ python3 examples/NTC/plot.py

Great!

Further reading

• Appeltant, L., et al. “Information Processing Using a Single Dynamical Node as Complex System.” Nature Communications, vol. 2, 2011, p. 468., doi:10.1038/ncomms1476.
• Larger, L., et al. “Photonic Information Processing beyond Turing: an Optoelectronic Implementation of Reservoir Computing.” Optics Express, vol. 20, no. 3, 2012, p. 3241., doi:10.1364/oe.20.003241.
• Rabinovič, Mihail Izrailevič, et al. Principles of Brain Dynamics: Global State Interactions. The MIT Press, 2012.
• Jaeger, H. “Harnessing Nonlinearity: Predicting Chaotic Systems and Saving Energy in Wireless Communication.” Science, vol. 304, no. 5667, Feb. 2004, pp. 78–80., doi:10.1126/science.1091277.
• Bogdan Penkovsky. Theory and Modeling of Complex Nonlinear Delay Dynamics Applied to Neuromorphic Computing. Artificial Intelligence [cs.AI]. Université Bourgogne Franche-Comté, 2017. English. 〈tel-01591441v2〉