Description
Reservoir Computing, fast RNNs.
Description
Please see the README on Github at https://github.com/masterdezign/rc#readme
README.md
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〉