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Wavelet additive forecasting model to support the fisheries industry
ArticleAbstract: We present a forecasting strategy based on stationary wavelet decomposition combined with linear regPalabras claves:forecasting, linear regression, wavelet decompositionAutores:Nibaldo Rodríguez, Palma W., Rubio J.M., Yanez E.Fuentes:scopusAttributes of climate resilience in fisheries: From theory to practice
ArticleAbstract: In a changing climate, there is an imperative to build coupled social-ecological systems—including fPalabras claves:adaptive capacity, coastal communities, fisheries management, global change, social-ecological systems, synthesis scienceAutores:Allison E.H., Barbieri M.A., Battista W., Cinner J.E., Dickey-Collas M., Eurich J.G., Free C.M., Friedman W.R., Katherine E. Mills, Kleisner K.M., Lau J.D., Mason J.G., McClanahan T.R., Mills K.E., Mireia Valle, Pecl G.T., Silva C., Tokunaga K., Whitney R. Friedman, Yanez E., Zhao L.Z.Fuentes:scopusMonthly catch forecasting of anchovy Engraulis ringens in the north area of Chile: Non-linear univariate approach
ArticleAbstract: In this study the performance of computational neural networks (CNNs) models to forecast 1-month ahePalabras claves:ARIMA model, Catch pbkp_rediction, Computational neural network, Elman model, hybrid model, Recurrent Neural NetworkAutores:Gutiérrez-Estrada J.C., Nibaldo Rodríguez, Pulido-Calvo I., Silva C., Yanez E.Fuentes:scopus