Neural Network Toolbox

nnt2ff

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

newff, newcf, newfftd, newelm

nnt2elm

nnt2hop

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