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The quantification of pollutants in drinking water by use of artificial neural networks

✍ Scribed by Michael Cauchi; Luca Bianco; Conrad Bessant


Publisher
Springer Netherlands
Year
2010
Tongue
English
Weight
368 KB
Volume
10
Category
Article
ISSN
1567-7818

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## Abstract In this paper, the usefulness of artificial neural networks (ANNs) as a suitable tool for the study of the medium and long‐term climatic variability is examined. A method for classifying the inherent variability of climatic data, as represented by the rainfall regime, is investigated. T