How can I create a custom neural network by this following data set?

I have to take 4 inputs (Independent data array) and 2 inputs (dependent data array). I have 18 sets of data. The number of layers are 2.

Thanks

Answer 1

[Greg Heath]

I see no reason to use a custom network.

Use fitnet for regression or curvefitting

Use patternnet for classification or pattern recognition.

Use the commands help and doc to access the documentation that includes an example for each function.

For example:

 help fitnet
 doc patternnet

Hope this helps.

Greg

[Yeasir Mohammad Akib]

Do I need to use 'mapminmax' function for normalization of input and targeted output?

[Greg Heath]

In general, I recommend transforming inputs and outputs. Mapminmax is the default, i.e., it will be implemented automatically. If you wish, you can remove it or change to mapstd for zero-mean/unit-variance:

 help mapstd
 doc mapstd

However, I like to implement that transformation explicitly before training by using zscore:

 help zscore
 doc zscore

Then I can modify or delete outliers before training. Since I am lazy, I just accept the default mapminmax instead of removing it.

I have posted zillions of examples in both the NEWSGROUP and ANSWERS. Include greg and zscore in your search words.

Hope this helps.

Thank you for formally accepting my answer

Greg