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An optimal degree of complexity of a simplified model

Boćkowska M., Żuchowski A.

Metrology and Measurement Systems

2007

Vol. 14, nr 2

275-281

A simplified model can be created using one of the already known mathematical methods (series expansion of a function, truncating continued fraction expansion [1] and so forth) if the analytic form of the full model is known or using regression to determine the optimal parameters of the model with arbitrary assumed structure. If the measured accuracy of input variables can be obtained, the optimal degree of complexity of the model can be determined.