Mathematical Modeling of Chemical Processes
Typically 2 to 10 physical parameters estimated (nonlinear regression) Good versatility, can be extrapolated . Can be run in real-time. linear regression. nonlinear regression . number of parameters affects accuracy of model, but confidence limits on the parameters fitted must be evaluated ................
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