| Neural Network Toolbox | |
Update NNT 2.0 feed-forward network
Syntax
net = nnt2ff(PR,{W1 W2 ...},{B1 B2 ...},{TF1 TF2 ...},BTF,BLR,PF)
Description
nnt2ff(PR,{W1 W2 ...},{B1 B2 ...},{TF1 TF2 ...},BTF,BLR,PF) takes these arguments,
PR - R x 2 matrix of min and max values for R input elements.
Wi - Weight matrix for the ith layer.
Bi - Bias vector for the ith layer.
TFi - Transfer function of ith layer, default = 'tansig'.
BTF - Backpropagation network training function, default = 'traingdx'.
BLF - Backpropagation weight/bias learning function, default = 'learngdm'.
PF - Performance function, default = 'mse'.
and returns a feed-forward network.
The training function BTF can be any of the backpropagation training functions such as traingd, traingdm, traingda, traingdx or trainlm.
The learning function BLF can be either of the backpropagation learning functions such as learngd or learngdm.
The performance function can be any of the differentiable performance functions such as mse or msereg.
Once a network has been updated, it can be simulated, initialized, adapted, or trained with sim, init, adapt, and train.
See Also
| | nnt2elm | nnt2hop | |