MATLAB: What is the sturcture of the FITNET

fitnet

These days I apply a FITNET to design my own predictive controller. Indeed, it is very convenient to use. However, there is little concrete content about the structure of this net in the MATLAB documentation. Could someone answer me these sub-questions: (1) Is it similar to a traditional BP net? And what is the difference between them, activation functions? (2) If it has the same structure as the BP net, why is it named FITNET? The 'Tips' in the documentation informs that "Function fitting is the process of training a neural network on a set of inputs in order to produce an associated set of target outputs." Does it mean the FITNET just adopts a new way to train a BP net?

Best Answer

FITNET is the default net for curveFITting and regression.
It is the standard configuration that comes to mind whenever anyone says
            NEURAL NETWORK
for details use the commands
 help fitnet
 doc fitnet
and
 type fitnet
For classification or pattern recognition the default is PATTERNNET.
CLARIFICATION:
If you run the code in the
 help fitnet
and
 doc fitnet
you will see the circuit diagrams.
FITNET is a standard MLP with one hidden layer and a linear layer output. It is used for curve"fit"ting and regression.
PATTERNNET is a standard MLP with one hidden layer and a binary layer output. It is used for classification and "pattern" recognition.
Thank you for formally accepting my answer
 Greg
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