MATLAB: Newff Create a feed-forward backpropagation network. – Obsoleted in R2010b NNET 7.0.

neural network

I have this documentation… However since newff is obsoleted I was wondering how I can create the example feedforward neural network in the documentation with the new commands?
FEEDFORWARD NEURAL NETWORK
To create a feedforward backpropagation network we can use NEWFF 
   Syntax
   net = newff(PR,[S1 S2...SNl],{TF1 TF2...TFNl},BTF,BLF,PF) 
   Description
       NEWFF(PR,[S1 S2...SNl],{TF1 TF2...TFNl},BTF,BLF,PF) takes,
         PR  - Rx2 matrix of min and max values for R input elements.
         Si  - Size of ith layer, for Nl layers.
         TFi - Transfer function of ith layer, default = 'tansig'.
         BTF - Backprop network training function, default = 'trainlm'.
         BLF - Backprop weight/bias learning function, default = 'learngdm'.
         PF  - Performance function, default = 'mse'.
       and returns an N layer feed-forward backprop network.
Consider this set of data:
p=[-1 -1 2 2;0 5  0 5]
t =[-1 -1 1 1]
where p is input vector and t is target.
Suppose we want to create feed forward neural net with one hidden layer,  3 nodes in hidden layer, with tangent sigmoid as transfer function in hidden layer and linear function for output layer, and with gradient descent with momentum backpropagation training function, just simply use the following commands:
» net=newff([-1 2;0 5],[3 1],{'tansig' 'purelin'},’traingdm’);
Note that the first input [-1 2;0 5] is the minimum  and maximum values of vector p. We might use minmax(p) , especially for large data set, then the command becomes:
»net=newff(minmax(p),[3 1],{'tansig' 'purelin'},’traingdm’);

Best Answer

There are two obsolete versions of newff. Using defaults for an I-H-O MLP,
net1 = newff(minmax(p),[ H O ]); %very obsolete
net2 = newff( p, t, H ); % obsolete
The latter version has the additional defaults of
 1. Removal of constant (zero variance) rows
 2. Mapminmax [-1,1] normalization of input and target 
 3. 70/15/15 train/val/test data division
It is not clear what versions of MATLAB and NNToolbox you have.
However, both obsolete versions should run. In addition, newfit and newpr are versions of the latter newff that are specialized for regression/curve-fitting and classification/pattern-recognition, respectively.
You can find the documentation for old and new functions in the MATLAB website. However, the commands help, doc, and type will yield most of the information you need to know for most functions on your machine.
Hope this helps.
Thank you for formally accepting my answer
Greg
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