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SIL Proceedings, 1922-2010
Internationale Vereinigung für Theoretische und Angewandte Limnologie: Verhandlungen
Volume 27, 2000 - Issue 2
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Original Articles

Linear and non-linear methods to predict the microhabitat of 0+ roach (Rutilus rutilus L.) in the littoral zone of a large reservoir

Pages 811-814 | Published online: 01 Dec 2017

References

  • Brosse, S., Lek, S. & Dauba, F., 1999: Predicting fish distribution in a mesotrophic lake by hydroacoustic survey and artificial neural networks. — Limnol. Oceanogr. 44: 1293–1303.
  • Copp, G. H., 1989: Electrofishing for fish larvae and juveniles: equipment modifications for increased efficiency with short fishes. — Aquacult. Fish. Manage. 20: 453–462.
  • Copp, G. H., 1990: Shifts in the microhabitat of larval and juvenile roach, Rutilus rutilus L. in a floodplain channel. — J. Fish Biol. 36: 683–692.
  • Copp, G. H. & Kovac, V., 1996: When do fish with indirect development become juveniles? — Can. J. Fish. Aquat. Sci. 53: 746–752.
  • Efron, B., 1983: Estimating the error rate of a prediction rule: some improvements on cross-validation. — J. Am. Stat. Assoc. 78: 316–331.
  • Garson, G. D., 1991: Interpreting neural network connection weights. — Artif. Intell. Expert. — 6: 47–51.
  • Geman, S., Bienenstock, E., & Doursat, R., 1992: Neural networks and the bias/variance dilema. — Neural Comput. 4: 1–58.
  • Hakanson, L., 1996: Predicting important lake habitat variables from maps using modern modelling tools. — Can. J. Fish. Aquat. Sci. 53: 364–382.
  • James, F. C. & Mcculloch, C. E., 1990: Multivariate analysis in ecology and systematics: panacea or Pandoras box? — Annu. Rev. Ecol. Syst. 21: 129–166.
  • Kohavi, R., 1995: A study of the cross-validation and bootstrap for accuracy estimation and model selection. — In: Proc. Internationnal Joint Conference on Artificial Intelligence (IJCAI): 1137–1143. Montreal.
  • Lek, S., Delacoste, M., Baran, P., Dimopoulos I., Lauga, J. & Aulagner, S., 1996: Application of neural networks to modelling non-linear relationships in ecology. — Ecol. Model. 90: 39–52.
  • Nelva, A., Persat, H. & Chessel, D., 1979: Une nouvelle méthode d'étude des peuplements ichtyologiques dans les grands cours d'eau par échantillonnage ponctuel d'abondance. — C. R. Acad. Sci. Paris Serie III 289: 1295–1298.
  • Rumelhart, D. E., Hinton, G. E. & Williams, R. J., 1986: Learning representations by back-propagating error. — Nature 323: 533–536.

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