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Modelling Ecological Interrelations in Running Water Ecosystems with Artificial Neural Networks

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons56848

Obach,  Michael
Limnological River Station Schlitz, Max Planck Institute for Limnology, Max Planck Institute for Evolutionary Biology, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons56984

Wagner,  Rüdiger
Limnological River Station Schlitz, Max Planck Institute for Limnology, Max Planck Institute for Evolutionary Biology, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons56915

Schmidt,  Hans-Heinrich
Limnological River Station Schlitz, Max Planck Institute for Limnology, Max Planck Institute for Evolutionary Biology, Max Planck Society;

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Citation

Schleiter, I. M., Obach, M., Wagner, R., Werner, H., Schmidt, H.-H., & Borchardt, D. (2003). Modelling Ecological Interrelations in Running Water Ecosystems with Artificial Neural Networks. In F. Recknagel (Ed.), Ecological Informatics. Understanding Ecology by Biologically-Inspired Computation (pp. 109-126). Berlin: Springer-Verlag.


Cite as: http://hdl.handle.net/11858/00-001M-0000-000F-C7EC-6
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