Abstract
Forecasting is particularly important for the management of harvested marine fish populations. Unfortunately, random and deterministic factors are pervasive characteristics which can undermine one’s ability to conduct accurate forecasts. In some cases the span or resolution of available data can limit development or use of a particular kind of model.
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Cisneros-Mata, M.A., Brey, T., Jarre-Teichmann, A. (2000). Performance Comparison between Regression and Neuronal Network Models for Forecasting Pacific Sardine (Sardinops caeruleus) Biomass. In: Lek, S., Guégan, JF. (eds) Artificial Neuronal Networks. Environmental Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-57030-8_11
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DOI: https://doi.org/10.1007/978-3-642-57030-8_11
Publisher Name: Springer, Berlin, Heidelberg
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