Development of QSARs/QSPRs to describe wastewater treatment and functionalized nanoparticles
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Authors
Morkowchuk, Lisa N.
Issue Date
2013-08
Type
Electronic thesis
Thesis
Thesis
Language
ENG
Keywords
Chemistry
Alternative Title
Abstract
This dissertation utilizes traditional machine learning methods such as partial least squares and support vector machines to create quantitative structure-activity (or structure-property) relationships (QSARs/QSPRs) for materials and wastewater applications.
Description
August 2013
School of Science
School of Science
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY