informed_init

ReservoirComputing.informed_initFunction
informed_init([rng], [T], dims...;
    scaling=0.1, model_in_size, gamma=0.5)

Create an input layer for informed echo state networks (Pathak et al., 2018).

Arguments

  • rng: Random number generator. Default is Utils.default_rng() from WeightInitializers.
  • T: Type of the elements in the reservoir matrix. Default is Float32.
  • dims: Dimensions of the matrix. Should follow res_size x in_size.

Keyword arguments

  • scaling: The scaling factor for the input matrix. Default is 0.1.
  • model_in_size: The size of the input model.
  • gamma: The gamma value. Default is 0.5.

Examples

source

References