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.
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: |
|Journal or Publication Title: ||Naga, the ICLARM Quarterly|
|Page Range: ||pp. 38-40|
|Issuing Agency: ||WorldFish Center|
|Uncontrolled Keywords: ||Biomass; Approximation; Neural networks (Computer science); Ecosystems; Fisheries; Engraulis ringens|
|Item ID: ||9253|
|Depositing User: ||Mr William Ko|
|Date Deposited: ||30 Nov 2012 09:36|
|Last Modified: ||30 Nov 2012 09:36|
Actions (login required)