English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Book Chapter

Modelling Ecological Interrelations in Running Water Ecosystems with Artificial Neural Networks

MPS-Authors
/persons/resource/persons56848

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

/persons/resource/persons56984

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

/persons/resource/persons56915

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

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)
There are no public fulltexts stored in PuRe
Supplementary Material (public)
There is no public supplementary material available
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: https://hdl.handle.net/11858/00-001M-0000-000F-C7EC-6
Abstract
There is no abstract available