nnt2ff (Neural Network Toolbox)

Update NNT 2.0 feed-forward network to NNT 3.0

net = nnt2ff(pr,{w1 w2 ...},{b1 b2 ...},{tf1 tf2 ...},btf,blr,pf)

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 - Backprop network training function, default = 'traingdx'.

BLF - Backprop 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 backprop 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.