Dynamic State Network (DSN) Reservoir Computer

• What is this?
  • A software suite to study and test Dynamic State Network (DSN) Reservoir Computers
• Test a what?
  • A Dynamic State Network (DSN) Reservoir Computer is a modified Echo State Network Reservoir Computer that utilizies the injected dynamics of a nonlinear/chaotic function to improve predictive and generative performance of nonlinear/chaotic time series
• Why exactly?
  • This repo is used for the study of the effects of nonlinear/chaotic functions on DSN RC, as well as their applications. Included here are Monte Carlo batch simulations, synthetic dataset generation scripts, and examples of applications
• Okay, how to use it?
  • For MATLAB, please read the quickstart guide
  • For Python, please read this quickstart guide
• System Requirements
  • OS
    • Windows
    • Linux
    • OSX
    • Anything that can run Python 3 or higher (including embeded platforms)
  • MATLAB
    • MATLAB (tested on R2020b)
  • Python
    • Python 3.9.1 or higher
    • numpy
    • scipy
    • matplotlib
    • pandas