I have six columns of data (See attached spreadsheet). I am trying to predict chamber pressure from motion responses in six degrees of freedom. As shown on the spreadsheet, I have created a liner regression model that performs better than I expected, but I was to improve this. I have tried the NARX neural net tool and get good results with the open loop, but when I close the loop my results are almost worse than the linear regression model.
I want to be able to predict unknown pressure outputs from new motion data so I cannot use an open loop network as this appears to need a known pressure output.
Any help would be brilliant.
Thanks
