Gross parameters prediction of a granular-attached biomass reactor by means of multi-objective genetic-designed artificial neural networks: touristic pressure management case-Reference-Cited by-同舟云学术

Gross parameters prediction of a granular-attached biomass reactor by means of multi-objective genetic-designed artificial neural networks: touristic pressure management case

Published:2015-11-17 Issue:6 Volume:23 Page:5549-5565
ISSN:0944-1344
Container-title:Environmental Science and Pollution Research
language:en
Short-container-title:Environ Sci Pollut Res

Author:

Del Moro G.,Barca E.^ORCID,De Sanctis M.,Mascolo G.,Di Iaconi C.

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine

Link

http://link.springer.com/content/pdf/10.1007/s11356-015-5729-3.pdf

Reference51 articles.

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3. APAT, IRSA-CNR. (2003b) Chemical oxygen demand (COD) In: APAT (ed) Water Analytical methods. Rome, Italy

4. APAT, IRSA-CNR. (2003c) Total nitrogen In: APAT (ed) Water Analytical methods. Rome, Italy

5. APAT, IRSA-CNR. (2003d) Total phosphorus In: APAT (ed) Water Analytical methods. Rome, Italy

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