Exploring the use of neural networks for biomass forecasts in the Peruvian upwelling ecosystem

Jarre-Teichmann, A. and Brey, T. and Haltof, H. (1995) Exploring the use of neural networks for biomass forecasts in the Peruvian upwelling ecosystem. Naga, the ICLARM Quarterly, 18(4), pp. 38-40.

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Official URL: http://www.worldfishcenter.org/Naga/na_2076.pdf

Abstract

A pilot study was conducted to study the ability of an artificial neural network to predict the biomass of Peruvian anchoveta Engraulis ringens, given time series of earlier biomasses, and of environmental parameters (ocenographic data and predator abundances). Acceptable predictions of three months or more appear feasible after thorough scrutiny of the input data set.

Item Type: Article
Title: Exploring the use of neural networks for biomass forecasts in the Peruvian upwelling ecosystem
Personal Creator/Author:
CreatorsEmail
Jarre-Teichmann, A.
Brey, T.
Haltof, H.
Journal or Publication Title: Naga, the ICLARM Quarterly
Volume: 18
Number: 4
Page Range: pp. 38-40
Date: 1995
ISSN: 0116-290X
Issuing Agency: WorldFish Center
Uncontrolled Keywords: Biomass; Approximation; Neural networks (Computer science); Ecosystems; Fisheries; Engraulis ringens
Subjects: Fisheries
Item ID: 9253
Depositing User: Mr William Ko
Date Deposited: 30 Nov 2012 08:36
Last Modified: 30 Nov 2012 08:36
URI: http://aquaticcommons.org/id/eprint/9253

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