Comparative Performance of Algorithms for Inductive Modeling the Cooling Process of a Metal Casting
Volodymyr Semenovych Stepashko, Yevheniya Savchenko-Syniakova, Olha Moroz, Halyna A. Pidnebesna, Olena V. Tokova, Yaroslav M. Linder · 2023
Inductive modeling methods have repeatedly demonstrated their effectiveness in various problems of building models based on experimental data. Many different GMDH algorithms of the sorting and iterative types are known which have already proved their efficiency, but they are constantly being improved. To date, some new effective GMDH algorithms have been developed, for example, combinatorial-genetic, correlation-rating and hybrid iterative-genetic algorithms. The paper compares the results of applying various GMDH algorithms with the classical and Lasso regression methods to the problem of modeling the cooling process of a metal casting.