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Water demand prediction using artificial neural networks and support vector regression

Author: Msiza, IS ; Nelwamondo, Fulufhelo V ; Marwala, T Date: Nov 2008 Computational Intelligence techniques have been proposed as an efficient tool for modeling and forecasting in recent years and in various applications. Water is a basic need and as a result, water supply entities have the responsibility to ... Read more

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Browsing by Subject "Modelling and digital science"

Browsing by Subject "Modelling and digital science"

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