Forecasting of UV-Vis absorbance time series using artificial neural networks combined with principal component analysis

This work proposes a methodology for the forecasting of online water quality data provided by UV-Vis spectrometry. Therefore, a combination of principal component analysis (PCA) to reduce the dimensionality of a data set and artificial neural networks (ANNs) for forecasting purposes was used. The re...

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Bibliographische Detailangaben

Veröffentlicht in:	Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 75(2017), 3-4 vom: 21. Feb., Seite 765-774
1. Verfasser:	Plazas-Nossa, Leonardo (VerfasserIn)
Weitere Verfasser:	Hofer, Thomas, Gruber, Günter, Torres, Andres
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2017
Zugriff auf das übergeordnete Werk:	Water science and technology : a journal of the International Association on Water Pollution Research
Schlagworte:	Journal Article Research Support, Non-U.S. Gov't Waste Water