Abstract:
The problem of complex object functioning model development is solved with the aid of algorithms of structure-ranging analysis and piecewise approximation. Two approaches to the solution are considered – the first employs iterative algorithms which implement variational approach to piecewise approximation, while the second uses two-phase algorithms where the processes of input parameter space structuring and local regression model development are separated.
Keywords:ranging data analysis, structure identification, piecewise approximation of complex dependence, Fisher–Chow statistic.