Redes de neuronas artificiales para el pronostico de biomasa de sardina del pacifico y su medio ambiente

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Autor principal: Miguel A. Cisneros Mata
Formato: Artículo científico
Lenguaje:en
Publicado: Universidad Autónoma de Baja California 1996
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author Miguel A. Cisneros Mata
author_facet Miguel A. Cisneros Mata
contents Redes de neuronas artificiales para el pronostico de biomasa de sardina del pacifico y su medio ambiente Miguel A. Cisneros Mata Thomas Brey Astrid Jarre-Teichmann Gabriela Montemayor Lopez Walter García Fontes Ciencias de la Tierra sardine neural networks biomass forecasts We tested the forecasting performance of artificial neural networks (ANNs) using several timeseries of environmental and biotic data pertaining to the California Current (CC) neritic ecosystem.ANNs performed well predicting CC monthly 10-m depth temperature up to nine years in advance,using temperature recorded at Scripps Institution of Oceanography pier. Annual spawning biomassof Pacific sardine (Sardinops saga.x caeruleus) was forecasted reasonably well one year in advanceusing time series of water temperature, wind speed cubed, egg and larval abundance, commercialcatch, and spawning biomass of northern anchovy (Engraulis mordax) and Pacific sardine as predictors,We discuss our results and focus on the philosophy and potential problems faced during ANNmodeiling. 1996 artículo científico 0185-3880 https://www.redalyc.org/articulo.oa?id=48022403 en http://www.redalyc.org/revista.oa?id=480 Ciencias Marinas application/pdf Universidad Autónoma de Baja California Ciencias Marinas (México) Num.4 Vol.22
format Artículo científico
id redalyc_48022403
institution Redalyc
language en
publishDate 1996
publisher Universidad Autónoma de Baja California
spellingShingle Redes de neuronas artificiales para el pronostico de biomasa de sardina del pacifico y su medio ambiente
Miguel A. Cisneros Mata
Ciencias de la Tierra
sardine
neural networks
biomass forecasts
Redes de neuronas artificiales para el pronostico de biomasa de sardina del pacifico y su medio ambiente Miguel A. Cisneros Mata Thomas Brey Astrid Jarre-Teichmann Gabriela Montemayor Lopez Walter García Fontes Ciencias de la Tierra sardine neural networks biomass forecasts We tested the forecasting performance of artificial neural networks (ANNs) using several timeseries of environmental and biotic data pertaining to the California Current (CC) neritic ecosystem.ANNs performed well predicting CC monthly 10-m depth temperature up to nine years in advance,using temperature recorded at Scripps Institution of Oceanography pier. Annual spawning biomassof Pacific sardine (Sardinops saga.x caeruleus) was forecasted reasonably well one year in advanceusing time series of water temperature, wind speed cubed, egg and larval abundance, commercialcatch, and spawning biomass of northern anchovy (Engraulis mordax) and Pacific sardine as predictors,We discuss our results and focus on the philosophy and potential problems faced during ANNmodeiling. 1996 artículo científico 0185-3880 https://www.redalyc.org/articulo.oa?id=48022403 en http://www.redalyc.org/revista.oa?id=480 Ciencias Marinas application/pdf Universidad Autónoma de Baja California Ciencias Marinas (México) Num.4 Vol.22
title Redes de neuronas artificiales para el pronostico de biomasa de sardina del pacifico y su medio ambiente
topic Ciencias de la Tierra
sardine
neural networks
biomass forecasts
url https://www.redalyc.org/articulo.oa?id=48022403