Can anyone give me a two input two output fit-net example with dataset

please give me a link or books name that exemplifies two input two output fitnet example.Training code is not only required but also the new input portion is required.Any light on how to prepare data is also appreciated.

Answer 1

[Greg Heath]

Typically, MATLAB equations are multidimensional.

For regression, classification and time series, all you have to do is create the multidimensional input matrix of size [ I N ] and corresponding multidimensional output target matrix of size [ O N ].

Given input and target, the fewest number of statements, 2, would be

 [ net trainingrecord output error ] = train(fitnet,input,target);
 Rsq = 1 - mse(error)/mean(var(target',1))

which uses default values that are available via the command

 net = net   % NO SEMICOLON

The examples for the help and doc commands use a few more statements and can be helpful. UNFORTUNATELY, however, they do not

 1. show data size
 2. typically, yield  a numerical performance value.
 3. explicitly initialize the RNG so that numerical results 
   can be duplicated

Most of the useful auxiliary information will be available in the training record.

Although lists of MATLAB example datasets for regression, clustering, classification, and timeseries can be obtained can be obtained via

 help nndatasets
 doc nndatasets

sizes are not directly available.

However, sizes are directly available via these posts

 http://www.mathworks.com/matlabcentral/newsreader/view_thread/337914
 https://www.mathworks.com/matlabcentral/newsreader/view_thread/339984
 http://www.mathworks.com/matlabcentral/newsreader/view_thread/338208

and, posted training examples obtained via commands like

 greg fitnet
 greg patternet
 etc

in BOTH the NEWSREADER and ANSWERS.

Hope this helps.

Thank you for formally accepting my answer

Greg