Abstract
A simulation study was conducted to evaluate the feasibility of using chemometrics methods to analyze process nuclear magnetic resonance (NMR) data. Using the computer-generated NMR data, training sets and validation sets were constructed to represent several real-world application scenarios. The experimental factors (the spectral noise, the reference measurement error, and the nonlinearity) that affect the performance of a partial least-square (PLS) model were systematically investigated.
PDF Article
More Like This
Cited By
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription