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Englewood Cliffs, NJ: Prentice-Hall, 1987; and Model validation and model structure determination.
In this paper a new procedure for model structure determination in feedforward neural networks is proposed.
However, there is no efficient model structure determination methodology for a particular mapping application.
In system identification, there are model structure determination and parameter estimation steps, and the optimality criteria for both objects are sometimes conflicting.
For LPV model structure determination, an engineering approach is proposed that combines process knowledge with the so-called final output error criteria (FOE).
Mathematically modeling unsteady aerodynamics at high angles of attack bears great difficulties in model structure determination and parameter estimation due to little understanding of the flow mechanism.
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Benchmark test on the non-enzyme and corresponding enzyme models, structure determination of the β-aminomethyl and β-hydroxymethyl chalcone, experimental and computational details, references S8 S10, Figures S1 S14, and Table S1.
The structure of the ternary complex of PKAc with 2Mg2+, ADP, and phosphorylated peptide pSP20 (PDB ID 4IAD) was used as a starting model for structure determination.
The refined model was used as the starting model for the structure determination of IPK in complex with IP, IPP, and IPPβS.
The modeling problem is reduced to several simpler problems, which are solved independently: hybrid model structure and subprocess determination, subprocess behavior estimation, identification and integration of the submodels to form the hybrid model.
Through these studies we were able to greatly improve the simplicity and efficiency of the synthesis of the crystal sponges, obtained and refined data that allowed for the construction of chemically and physically sensible models for guest structure determination, and outlined a complete procedure that encompasses guest inclusion, data collection, processing and refinement.
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