Predicting Research and Motor Octane Numbers Based on Near Infrared Spectroscopy: Models Based on Partial Least Squares Regression and Artificial Neural Networks

AuthID
P-00P-HJT
5
Editor(s)
Friedl, A; Klemes, JJ; Radl, S; Varbanov, PS; Wallek, T
Document Type
Proceedings Paper
Year published
2018
Published
in 28TH EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING in Computer Aided Chemical Engineering, ISSN: 1570-7946
Volume: 43, Pages: 187-192 (6)
Conference
28Th European Symposium on Computer-Aided Process Engineering (Escape), Date: JUN 10-13, 2018, Location: Graz, AUSTRIA, Sponsors: European Federat Chem Engn, CAPE Working Party, TU Graz, TU Wien, Brno Univ Technol, Sci Coordinat Team
Indexing
Publication Identifiers
Wos: WOS:000441374200034
Source Identifiers
ISSN: 1570-7946
Export Publication Metadata
Marked List
Info
At this moment we don't have any links to full text documens.