Prediction model and demonstration of regional agricultural carbon emissions based on PCA-GS-KNN: a case study of Zhejiang province, China

The paper proposes a prediction algorithm that is composed with principal component analysis (PCA), grid search (GS) and K-nearest neighbours (KNN). Firstly, in order to solve the problem of multicollinearity in multiple regression, principal component analysis is used to select the principal compon...

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Veröffentlicht in:	Environmental Research Communications 2023-05, Vol.5 (5), p.51001
Hauptverfasser:	Qi, Yanwei, Liu, Huailiang, Zhao, Jianbo, Xia, Xinghua
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Carbon Emissions grid search K-nearest neighbors regression model prediction Parameters Prediction models principal component analysis Principal components analysis regional agricultural carbon emissions Regression models
Online-Zugang:	Volltext
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