Information technology for generation of engineering system elements on the basis of discrete data on analogs

Abstract

Methodology and a computer decision support system for engineering system element habit generation are offered. Formal mathematical models of the system have been constructed using artificial neural networks. Control variables that are consistent with the desired quality criteria are determined on the basis of the evolutional method with regularization.