https://github.com/masterdezign/rc

Reservoir Computing, an RNN flavor
https://github.com/masterdezign/rc

esn haskell lsm neural-networks recurrent-neural-networks reservoir-computing rnn

Last synced: 7 months ago
JSON representation

Reservoir Computing, an RNN flavor

• Host: GitHub
• URL: https://github.com/masterdezign/rc
• Owner: masterdezign
• License: bsd-3-clause
• Created: 2018-02-17T21:29:58.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2020-10-08T20:05:27.000Z (over 5 years ago)
• Last Synced: 2024-04-25T23:22:01.128Z (almost 2 years ago)
• Topics: esn, haskell, lsm, neural-networks, recurrent-neural-networks, reservoir-computing, rnn
• Language: Haskell
• Homepage: https://hackage.haskell.org/package/rc
• Size: 260 KB
• Stars: 7
• Watchers: 4
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: ChangeLog.md
  • License: LICENSE

Awesome Lists containing this project

README

          
# Reservoir Computing

Facilitating RC research

## Features

* [Nonlinear transient computing (NTC)](https://github.com/masterdezign/rc/tree/master/examples/NTC)

* Echo State Networks (ESNs) (upcoming)

## Getting Started

Use [Stack](http://haskellstack.org).

     $ git clone https://github.com/masterdezign/rc.git && cd rc

     $ stack build --install-ghc

### [Example 1](https://github.com/masterdezign/rc/tree/master/examples/NTC). NTC, time series forecasting

     $ stack exec ntc

     Error: 3.1103181863915367e-3

Visualize the prediction results:

     $ python3 examples/NTC/plot.py

![Figure](https://raw.githubusercontent.com/masterdezign/rc/master/examples/NTC/mg-prediction.png)

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〉