Bulavin D. Comparatory structure-parametric identification of the multifactor estimation model with the genetic selection methods

Mathematical model and instrumental means for solving the comparatory structure-parametric identification problem with the genetic programming method are formulated; this model makes it possible to accelerate derivation of the solution and increase the obtained solution quality. It is offered to use Kolmogorov-Gabor polynomial as a function combining adaptive and multiplicative terms. The genetic algorithms method is used for the parametrtic identification problems solution for the first time. The offered methods are checked experimentally and it is shown that the offered methods give better results than the Group Method Data Handling in the structural identification problem and Chebyshev point method in the parametric identification problem.