Abstract
The polynomial iteration algorithm to realize the robust parametric and structural estimation within the frame of GMDH technique is presented. The two-level neural network structure with the controlled model complexity provides the computational stability of GMDH-PNN algorithm. The computational experiment demonstrating the parametric and structural robustness in the presence of outliers as well as examples of modeling problems solution in pharmacology and medicine are described.
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