Neural Network Regression Plot for Non-linear Multivariate Regression

What does the Regression Plot in the Matlab Neural Network Toolbox show? I thought I understood it when I looked at a univariate regression plot, but I've just plotted one for multivariate regression, and it makes no sense to me.

My Neural Network takes in 24 inputs, and gives 3 outputs. The 24 inputs are 24 different angles, and the 3 outputs are the (x,y,z) positions in 3d space. I expect that the function mapping the two is highly nonlinear, but I'm not sure. Here is the regression plot, and here is the performance plot if that helps.

What does the regression plot show? I do not understand this graph at all. Surely it cant plot the function because that would require a plot in 27 dimensions (24 inputs + 3 outputs). What do the 4 graphs represent? To me it looks like it is saying that the function is linear, could this be true?

Answer 1

[Greg Heath]

The plots are 1st output dimension vs 1st target dimension for all, trn, val and tst.

Hope this helps

Thank you for formally accepting my answer

Greg

[April Gem Beltran Panghulan]

How do I get the rest of the outputs vs target for all, train, validation and test?