An Optimization Approach Coupling Preprocessing with Model Regression for Enhanced Chemometrics-Reference-Cited by-同舟云学术

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An Optimization Approach Coupling Preprocessing with Model Regression for Enhanced Chemometrics

Published:2023-04-05 Issue: Volume: Page:
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Kappatou Chrysoula D.¹,Odgers James¹,García-Muñoz Salvador²^ORCID,Misener Ruth¹^ORCID

Affiliation:

1. Computational Optimisation Group, Department of Computing, Imperial College London, London SW7 2AZ, United Kingdom

2. Synthetic Molecule Design and Development, Lilly Research Laboratories, Eli Lilly & Company, Indianapolis, Indiana 46285, United States

Funder

Engineering and Physical Sciences Research Council

Eli Lilly and Company

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.2c04583

Reference69 articles.

1. A Statistical View of Some Chemometrics Regression Tools

2. Data-based latent variable methods for process analysis, monitoring and control

3. Latent variable multivariate regression modeling

4. Pseudo-degrees of freedom for complex predictive models: the example of partial least squares

5. Interval Partial Least-Squares Regression (iPLS): A Comparative Chemometric Study with an Example from Near-Infrared Spectroscopy

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