Comparison of hot rolled steel mechanical property prediction models using linear multiple regression, non-linear multiple regression and non-linear artificial neural networks

By Jones D. M.   Watton J.   Brown K. J.  

Ironmaking & Steelmaking, Vol. 32, Iss. 5, 2005-10 ,pp. : 435-442

Maney Publishing

Access to resources Recommend Favorite

Estimation and model predictive control of non-linear batch processes using linear parameter varying models

By Lakshmanan N. M.   Arkun Y.  

International Journal of Control, Vol. 72, Iss. 7-8, 1999-05 ,pp. : 659-675

Taylor & Francis Ltd

Access to resources Recommend Favorite

Partial least square-based model predictive control for large-scale manufacturing processes

By Song K.  

IIE Transactions, Vol. 34, Iss. 10, 2002-10 ,pp. : 881-890

Springer Publishing Company

Access to resources Recommend Favorite

Identification of non-linear parametrically varying models using separable least squares

By Previdi F.   Lovera M.  

International Journal of Control, Vol. 77, Iss. 16, 2004-11 ,pp. : 1382-1392

Taylor & Francis Ltd

Access to resources Recommend Favorite

Influence of flow rate, temperature and pressure on multiphase flows of supercritical carbon dioxide and water using multivariate partial least square regression

By Knaust Stefan   Andersson Martin   Rogeman Niklas   Hjort Klas   Amberg Gustav   Klintberg Lena  

Journal of Micromechanics and Microengineering, Vol. 25, Iss. 10, 2015-10 ,pp. : 105001-105009

IOP Publishing

Access to resources Recommend Favorite