PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Delaunay tessellation and topological regression: An application to estimating product properties
Francesco Corona, Elia Liitiainen, Amaury Lendasse, Roberto Baratti and Lorenzo Sassu
In: Computer Aided Chemical Engineering: Proceedings of {PSE} 2009 International Symposium on Process Systems Engineering, Salvador Bahia (Brazil) Computer Aided Chemical Engineering , 27 . (2009) Elsevier , pp. 1179-1184.

Abstract

The Delaunay tessellation and topological regression is a local simplex method for multivariate calibration. The method, developed within computational geometry has potential for applications in analytical chemistry and process monitoring. This study investigates the applicability of the method for estimating the aromatic composition in Light Cycle Oil (LCO) by Near Infrared (NIR) spectroscopy.

EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:6667
Deposited By:Amaury Lendasse
Deposited On:08 March 2010