MATLAB: Where in documentation does it say that fitnet([]) gives a linear model

fitnet

I have seen Greg Heath's posts such as this one in which fitnet([]) is used to fit a linear model, i.e. with no hidden layers. But I can't find a reference in the fitnet documentation that this is the expected result of [] as an input, and I find this hard to spot in the fitnet.m code. Can someone please point me to a description in the documentation of the expected behavior of fitnet([])? I just want to understand this better.

Best Answer

fitnet(H) yields H nodes in the hidden layer

A linear function needs no hidden layer

I could only think of 2 possibilities

 a. net1 = fitnet(0), view(net1)
 b. net2 = fitnet([]), view(net2)

So, as I did, try them out and see what happens.

Not sure if I checked the documentation.

Since I don't have MATLAB on this computer I can't check.

Also can't remember what happens when you try fitnet(0).

Hope this helps.

Greg

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 Use the command window
 help mse
 doc mse

Hope this helps.

Thank you for formally accepting my answer

Greg

MATLAB: Bad classification even after training neural network

Two possibilities

 1. The training data does not adequately characterize the total data set.
 2. The net is overfit with too many weights AND the net is overtrained past the point where it  
    trades the ability to work well on nontraining data to further the decrease in training error.

Are you using validation stopping?

Are your training, validation and test sets randomly chosen?

What are the data division ratios?

Hope this helps.

Thank you for formally accepting my answer

Greg

Best Answer

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