(Q57263493)

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Modelling roach (Rutilus rutilus) microhabitat using linear and nonlinear techniques

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Modelling roach (Rutilus rutilus) microhabitat using linear and nonlinear techniques (English)

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Sovan Lek

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Sébastien Brosse

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Sebastien Brosse

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publication date

July 2000

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number of pages

12

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Freshwater Biology

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volume

44

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issue

3

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page(s)

441-452

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Influence of some topographical variables on the spatial distribution of lake fish during summer stratification

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https://api.crossref.org/works/10.1046%2FJ.1365-2427.2000.00580.X

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21 January 2018

The use of artificial neural networks to assess fish abundance and spatial occupancy in the littoral zone of a mesotrophic lake

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21 January 2018

Robust Locally Weighted Regression and Smoothing Scatterplots

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https://api.crossref.org/works/10.1046%2FJ.1365-2427.2000.00580.X

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21 January 2018

Effects of habitat complexity and prey abundance on the spatial and temporal distributions of perch (Perca fluviatilis) and pike (Esox lucius)

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21 January 2018

Neural Networks and the Bias/Variance Dilemma

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21 January 2018

Energy availability and habitat heterogeneity predict global riverine fish diversity

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https://api.crossref.org/works/10.1046%2FJ.1365-2427.2000.00580.X

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21 January 2018

Experimental evidence for interactive habitat segregation between roach (Rutilus rutilus) and rudd (Scardinius erythrophthalmus) in a shallow eutrophic lake.

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https://api.crossref.org/works/10.1046%2FJ.1365-2427.2000.00580.X

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21 January 2018

Occupation of submerged aquatic vegetation by fishes: testing the roles of food and refuge

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21 January 2018

Learning representations by back-propagating errors

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21 January 2018

Resource partitioning in ecological communities.

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21 January 2018

Stream hydrological and ecological responses to climate change assessed with an artificial neural network

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21 January 2018

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DOI

10.1046/J.1365-2427.2000.00580.X

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(Q57263493)

Modelling roach (Rutilus rutilus) microhabitat using linear and nonlinear techniques

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