Modification and/or calibration function.

Forum|Forum|8 years ago
November 21, 2017
3 replies
3881 views

Hi all. I've implemented a model that needs 13 inputs parameters to work. Now, I am trying to change these 13 input parameters to get simulation results of this model close to experimental results. Actually, I need to play with these 13 parameters so as the simulation results and experimental results fit (a really hard work by hand). I don't know what should I do? I wonder if somebody can give me some advice. Is there any calibration or modification function and/or software that I can use for this purpose? best,

Physical Mathematics

Statistics_Analysis

L

LucMeekes

23-Emerald IV

Sounds like 13 equations and 13 unknowns. You should be able to have Mathcad solve that.
Where's the worksheet?

Luc

D

DJF

16-Pearl

Would Minerr help? In this example Z is a function that is the output you are after. Z_data is a set of data. Mathcad optimizes the variables to find the minimum error.

F

Fred_Kohlhepp

23-Emerald I

I'm sorry, but aren't your two weightings the same?

Some simple algebra manipulation of "Normalized weighting' results in "Natural weighting."

What did I miss?

You are right, one good approach (especially with emperical data) is Minerr!

D

DJF

16-Pearl

Except that nothing actually equals zero since it's (in my case) a fit of data. We're just trying to get close to zero. I certainly get different answers with the two methods.