Monthly catch forecasting of anchovy Engraulis ringens in the north area of Chile: Non-linear univariate approach

By Juan Carlos Gutiérrez-Estrada, Claudio Silva, Eleuterio Yañez, Nibaldo Rodríguez, Inmaculada Pulido-Calvo. 2007

83 citations recorded by the source corpus.

Subfields: Environmental Engineering, Global and Planetary Change, Oceanography

View Paper: https://www.semanticscholar.org/paper/669ad738adff3bb80d982bda6f2cc7c2378935ac

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In Global and Planetary Change

1. John G. Watson

Citations in the corpus

• A hybrid ARIMA and artificial neural networks model to forecast particulate matter in urban areas: The case of Temuco, Chile (2008, background): “Recent studies provide good descriptions of the hybrid ARIMA–ANN models (Aburto and Weber, 2007; Aslanargun et al., 2007; Gutie´rrez-Estrada et al., 2007; Pulido-Calvo and Portela, 2007; Sallehuddin et al., 2007; Gutie´rrez-Estrada et al., 2008).”
• Multiscale Legendre Neural Network for Monthly Anchovy Catches Forecasting (2009, background): “To achieve this aim lineal regression models and neural networks models has been successful in describing and forecasting the fishery dynamics of a wide variety of species [1],[2],[3].”