Machine learning for toxicity characterization of organic chemical emissions using USEtox database: Learning the structure of the input space

Title
Machine learning for toxicity characterization of organic chemical emissions using USEtox database: Learning the structure of the input space
Authors
Keywords
Machine learning, Life Cycle Assessment, Chemical risk assessment, USEtox, Dimensionality reduction, Nonlinear modelling
Journal
ENVIRONMENT INTERNATIONAL
Volume 83, Issue -, Pages 72-85
Publisher
Elsevier BV
Online
2015-06-20
DOI
10.1016/j.envint.2015.05.011

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search