A Comparison of Linear and Non-linear Machine Learning Techniques (PCA and SOM) for Characterizing Urban Nutrient Runoff

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...

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Bibliographic Details
Main Authors: Angela Gorgoglione, Alberto Castro, Vito Iacobellis, Andrea Gioia
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sustainability
Subjects:
nutrients
urban runoff
PCA
SOM
machine learning.
Online Access:https://www.mdpi.com/2071-1050/13/4/2054

Internet

https://www.mdpi.com/2071-1050/13/4/2054

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