Code for reservoir computing.
The reservoir is constructed by the parameters defined in reservoir.config, which is:
{
"input": {
"nodes": 2,
"functions": [
"lambda x: np.sin(128 * np.pi * x)",
"lambda x: x"
],
"length": 5000
},
"reservoir": {
"start_node": 100,
"end_node": 100,
"step": 2,
"degree_function": "lambda x: np.sqrt(x)",
"sigma": 0.5,
"bias": 1,
"leakage_rate": 0.3,
"regression_parameter": 1e-08
},
"output": {
"nodes": 2
},
"training": {
"init": 1000,
"train": 3000,
"test": 2000,
"error": 1000
}
}It will generate the prediction.
For one single signal input:
sin(t):
For two signals input:
sin(t) and t:
For three singals input:
Lorenz System:
Rössler System:
The result will be gathered in the file reservoir.output, you can visualize it by running ./visualize.py reservoir.output or ./visualize3d.py reservoir.output
