Home Itens selecionados Provedores de dados OAI Créditos Sobre Ajuda

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	Provedor de dados AgEcon (1) Autor Fahimifard, Seiad Mohammad (1) Karbasi, Ali Reza (1) Laskukalayeh, Somayeh Shirzadi (1) Palavra-chave Demand and Price Analysis (1) Forecasting (1) Marketing (1) NNARX (1) Poultry Retail Price (1) Tipo do documento Conference Paper or Presentation (1) Ano 2009 (1) País United States (1) Idioma Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última Comparison of NNARX, ANN and ARIMA Techniques to Poultry Retail Price Forecasting AgEcon Karbasi, Ali Reza; Laskukalayeh, Somayeh Shirzadi; Fahimifard, Seiad Mohammad. The lack of study among the economic forecasting literature that can empirically proves the hypothesis of being more powerfulness of dynamic neural networks in comparison with the static neural networks models for forecasting, is the most important motivation of this study. In this paper, the utilization of NNARX as a nonlinear dynamic neural network model, ANN as a nonlinear static neural network model and ARIMA as a linear model were compared to forecast poultry retail price. As a case study on Iranian poultry retail price, we compare forecast performance of these models for three forecasts (1, 2 and 4 week ahead). Results show that NNARX and ANN models outperform ARIMA model, and also NNARX model outperforms ANN model for all three forecasts. Tipo: Conference Paper or Presentation Palavras-chave: NNARX; Poultry Retail Price; Forecasting; Demand and Price Analysis; Marketing. Ano: 2009 URL: http://purl.umn.edu/50321 Registros recuperados: 1 Primeira ... 1 ... Última

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