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 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, or train.

See Also

newff, newcf, newfftd, newelm

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