Purpose The purpose of this study is to compare interpolation algorithms and deep neural networks for inverse transfer problems with linear nonlinear behaviour. Design/methodology/approach A series runs were conducted a canonical test problem. These used as databases or “learning sets” both networks. second set was the prediction accuracy approaches. Findings results indicate that outperform in...