I am having problem with inverse modeling and lots of input data. The GUI do not let me create the files through it, because it is too much data. But thats not the problem.
The problem is that when I run the simulation, it gives me the answer exactly as the input. No variation, no difference on 95% confidence limits.
It seems to run, it is taking 1500 secs each run, generating 3.4 Gb output files.
If I reduce the input data (randomly throwing away data), it works normal.
Is it something with my raw data?
Or is it another problem? (like file too big, memory usage or other crazy computer thing).
I am using a program that I made to create the input files, so the formatting and preparation of the files should not be responsible for this difference in results as far as I know.
Thanks a lot!
Here is part of the Fit.out file that I got using all the data:
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... Mass balance error in FE solution during final run was 0.0000 % Correlation matrix ================== 1 2 3 4 5 1 0.0000 2 0.0000 0.0000 3 0.0000 0.0000 0.0000 4 0.0000 0.0000 0.0000 0.0000 5 0.0000 0.0000 0.0000 0.0000 0.0000 Non-linear least-squares analysis: final results ================================================ 95% Confidence limits Variable Value S.E.Coeff. Lower Upper WCR 0.10000E-02 0.41488E-15 0.10000E-02 0.10000E-02 WCS 0.50000E+00 0.41488E-15 0.50000E+00 0.50000E+00 ALPHA 0.59000E-01 0.41488E-15 0.59000E-01 0.59000E-01 N 0.14800E+01 0.41488E-15 0.14800E+01 0.14800E+01 CONDS 0.13100E+01 0.41488E-15 0.13100E+01 0.13100E+01 Contributions to the final objective function Measurement Set 2: 0.2402E+04 RSQUARE for regression of predicted vs observed =0.00000 Mean Weighted Error, ME : 0.4098E+00 Mean Weighted Absolute Error, MAE : 0.4098E+00 Root Mean Square Weighted Error, RMSE : 0.4148E+00 Akaike Information Criterion, AIC : -0.2456E+05 Bayesian Information Criterion, BIC : -0.2452E+05 ... ... Inverse solution calculation time [sec] 1315.65999998152 ---> last line! ...