Evaluation function optimization for the genetic algorithm based tuning of NN-ANARX model structure

Present paper focuses its attention on the application of genetic algorithm to adjust the NN-ANARX type structure improving performance of the identified model. Namely constructive procedure is proposed to choose parameters of the multi-criteria fitness function. Whereas main goal of present research is to find optimal linear combination of three qualitative parameters: ODCCF based criteria, mean square error and model order, those parameters are commonly used to evaluate model performance and validity. Numeric values of the fitness function coefficients for the most common classes of nonlinear systems proposed as a secondary result of the research.