Skip to main content

Low complexity surrogate models

Low complexity surrogate models

Marić, I., Ivek, I. Self-Organizing Polynomial Networks for Time-Constrained Applications. // IEEE transactions on industrial electronics, DOI: 10.1109/TIE.2010.2051934, vol. 58, no. 5, May 2011, pp. 2019-2029.

We are dealing with the procedures for meta-modeling of complex systems and algorithmsaiming to build high-accuracy and low-complexity surrogate models applicable to real-timesystems. We are developing new algorithms and metrics for the optimization of models.The efficiency of the surogate models has been verified in real-time calculationof fluid properties and the compensation of fluid flowrate error. The derived procedures can besuccessfuly applied to complex systems modeling in various research areas. 

This site uses cookies.

Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and can only be disabled by changing your browser preferences.