Delaunay tessellation and topological regression: An application to estimating product properties from spectroscopic measurements

BARATTI, ROBERTO;
2009-01-01

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.
2009
Inglese
Computer-Aided Chemical Engineering
27
1179
1184
6
Elsevier Science BV
AMSTERDAM
978-0-444-53472-9
WOS:000287727800197
2-s2.0-77649298810
Esperti anonimi
Process monitoring; multivariate calibration; Delaunay tessellation
info:eu-repo/semantics/bookPart
2.1 Contributo in volume (Capitolo o Saggio)
Corona, F; Liitiäinen, E; Lendasse, A; Baratti, Roberto; Sassu, L.
2 Contributo in Volume::2.1 Contributo in volume (Capitolo o Saggio)
5
268
none
Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Questionnaire and social

Share on:
Impostazioni cookie