✦ LIBER ✦

Estimations of trout density and biomass: a neural networks approach

✍ Scribed by Sovan Lek; Philippe Baran

Publisher: Elsevier Science
Year: 1997
Tongue: English
Weight: 524 KB
Volume: 30
Category: Article
ISSN: 0362-546X
DOI: 10.1016/s0362-546x(96)00291-x

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✦ Synopsis

In this paper, we report the use of artificial neural networks to predict the density and biomass of trout in the Pyrenees mountains from 8 physical parameters of the environment. The results obtained with a three-layered neural network are presented. Studies have been undertaken with 1 or 4 variables in the output layer of the network. Results on the test set (generalization of models) are satisfactory with determination coefficients R' exceeding 0.76.

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