How do you fit a Neural net with weight decay using the train function?

I want to fit a Neural net for Regression and I'd like to use weight decay so I don't have to worry about using too many nodes. The neural nets I've fit so far have been with the train function and I don't see a weight decay option. I see one if I use trainingOptions with trainNetwork, but that's appears to be mostly for image classification and requires defining each of the layers of the network.

I'm hoping there is something like this available.

netOptions = fitnet(10, 'trainbr');
netOptions.trainParam.weightDecay = 0.1;

Answer 1

[Greg Heath]

Well, have you tried it ?

See

 help trainbr

and

 doc trainbr

Thank you for formally accepting my answer

Greg

[Michael Williams]

I had already looked through those files (and now again) and they don't mentioned weight decay at all. I did find some documentation about regularization and it might be what I'm looking for. https://www.mathworks.com/help/nnet/ug/improve-neural-network-generalization-and-avoid-overfitting.html#bss4gz0-38 Have you used it at all? Does the goal parameter in [networkName].trainParam.goal need to be fine tuned?