Best Neural Network for Multivariate Regression

Dear all,

I have a series of input environmental variables (such as time of day, temperature, etcetera) that I would like to use to predict a single target variable. I am not sure if said variables contribute linearly to the target variable and therefore I would like to employ a neural network instead than a standard multivariate linear regression model (e.g.: mvregress), but I am lost in the panoply of options of the neural network toolbox in terms of networks, layers, etcetera.

What would be the best options to try?

Thanks and Best Regards

Answer 1

[Greg Heath]

Use FITNET.

Accept all parameter settings.

Train 10 models with different random initial weights

If unsuccessful. Repeat with a range of values for number of hidden nodes.

I have posted ZILLIONS of examples in BOTH comp.soft-sys.matlab and answers.

Hope this helps.

Greg

Thank you for formally accepting my advice

[israt fatema]

i am also interested about this question's answer, but not sure about, where to look for

"comp.soft-sys.matlab and answers"?