A Comparison of Linear and Non-linear Machine Learning Techniques (PCA and SOM) for Characterizing Urban Nutrient Runoff
Urban stormwater runoff represents a significant challenge for the practical assessment of diffuse pollution sources on receiving water bodies. Given the high dimensionality of the problem, the main goal of this study was the comparison of linear and non-linear machine learning (ML) methods to chara...
Main Authors: | Angela Gorgoglione, Alberto Castro, Vito Iacobellis, Andrea Gioia |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
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Series: | Sustainability |
Subjects: | |
Online Access: | https://www.mdpi.com/2071-1050/13/4/2054 |
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