I have physical model prediction data as well as actual data. From this I can calculate the error of each prediction data point through simple subtraction. I am hoping to train a neural network to be able to assign an error to the input of the physical model. My current plan is to normalize the error of each data point and assign it as a label to each model input. So the NN would be trained (and…
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