Skip to content

anshu957/Chaos_ReservoirComputing

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

18 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

A very basic implementation of Reservoir that can learn chaotic systems

To run you need to have the following installed in your working python environment:

  1. Numpy
  2. Jitcode
  3. NetworkX

Example(Rossler Attractor):

  1. To run: python3 lorenz.py

  2. --> Command line arguments can be given. For complete list of arguments, see lorenz.py

  3. --> Warning: Parameters, leaky_rate and inputScaling_radius are quite sensitive for reasons currently unknown to me. Avoid changing them!

  4. --> At the moment, rossler is not behaving normally. Since every compilation produces different random numbers for weights, sometimes the reservoir output blows up and sometimes it learns the system quite well. Parameters for rossler at not great right now and its better to avoid it.

About

A very basic implementation of Reservoir that can learn chaotic systems

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages