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Neural networks as a tool for control and management of a biological reactor for treating hydrogen sulphide

✍ Scribed by A. Elías; G. Ibarra-Berastegi; R. Arias; A. Barona

Book ID
106146665
Publisher
Springer
Year
2006
Tongue
English
Weight
377 KB
Volume
29
Category
Article
ISSN
1615-7605

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The effect of a set of environmental parameters on the pollution indicators (bacteria) in a high rate oxidation pond has been studied using neural networks (NNs) and regression analysis. The best models established were found to be nonlinear. The obtained results show that NNs may be used as a pract