| Neural Network Toolbox | ![]() |
Syntax
Description
nnt2lin(PR,W,B) takes these arguments,
PR - R x 2 matrix of min and max values for R input elements.
W - S x R weight matrix.
B - S x 1 bias vector
LR - Learning rate, default = 0.01;
Once a network has been updated, it can be simulated, initialized, adapted, or trained with sim, init, adapt, and train.
See Also
| nnt2hop | nnt2lvq | ![]() |