Signal\Control\Neural Networks
Domains: Continuous, Discrete. Size: 1-D. Kind: Block Diagrams.
This is a masked model which opens the BSpline Editor when edited. Using this editor the settings for a B-Spline Network can be entered.
Inputs |
Description |
any |
The user can defined any input. |
error
|
The error signal: the difference between the desired output and the network output. |
Outputs |
Description |
output |
The network output |
Parameters |
|
learning_rate network_order online_learning |
The learning rate The order of the spline-interpolation. A boolean: Learn at each sample (True) or Learn after Leaving Spline (False). |
regularization regularization_width load_weights save_weights |
Not yet supported. Not yet supported. A boolean: Load weights before simulation. A boolean: Save weights after simulation. |