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A Comparison between Neural Network Based and Multiple Regression Models for Chlorophyll-a Estimation

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Ecological Informatics

Abstract

Eutrophication and associated algal blooms are serious problems in many lakes and reservoirs. Deterioration of water quality for human consumption, limitation of recreational use, depletion of dissolved oxygen levels below tolerable levels for certain fish species and severe ecosystem degradation are amongst the adverse effects of eutrophication (Ryding and Rast 1989).

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Authors
  1. C. Karul
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  2. S. Soyupak
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Editor information

Editors and Affiliations

  1. Department of Soil and Water, Adelaide University, Waite Campus PMB 1, Glen Osmond, SA, 5064, Australia

    Friedrich Recknagel

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© 2003 Springer-Verlag Berlin Heidelberg

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Karul, C., Soyupak, S. (2003). A Comparison between Neural Network Based and Multiple Regression Models for Chlorophyll-a Estimation. In: Recknagel, F. (eds) Ecological Informatics. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05150-4_13

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  • DOI: https://doi.org/10.1007/978-3-662-05150-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-05152-8

  • Online ISBN: 978-3-662-05150-4

  • eBook Packages: Springer Book Archive

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