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	Provedor de dados AgEcon (2) Autor Bernard, John C. (2) Krishnan, Palaniappa (2) Ritter, William F. (2) Ramasamy, Nacha (1) Sudhakar, Prachi (1) Palavra-chave Environmental Economics and Policy (2) Livestock Production/Industries (1) Tipo do documento Working or Discussion Paper (2) Ano 2003 (2) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última MODELING NITROGEN LOADING RATE TO DELAWARE LAKES USING REGRESSION AND NEURAL NETWORKS AgEcon Sudhakar, Prachi; Krishnan, Palaniappa; Bernard, John C.; Ritter, William F.. The objective of this research was to predict the nitrogen-loading rate to Delaware lakes and streams using regression analysis and neural networks. Both models relate nitrogen-loading rate to cropland, soil type and presence of broiler production. Dummy variables were used to represent soil type and the presence of broiler production at a watershed. Data collected by Ritter & Harris (1984) was used in this research. To build the regression model Statistical Analysis System (SAS) was used. NeuroShell Easy Predictor, neural network software was used to develop the neural network model. Model adequacy was established by statistical techniques. A comparison of the regression and neural network models showed that both perform equally well. Cropland was... Tipo: Working or Discussion Paper Palavras-chave: Environmental Economics and Policy. Ano: 2003 URL: http://purl.umn.edu/15824 MODELING NITRATE CONCENTRATION IN GROUND WATER USING REGRESSION AND NEURAL NETWORKS AgEcon Ramasamy, Nacha; Krishnan, Palaniappa; Bernard, John C.; Ritter, William F.. Nitrate concentration in ground water is a major problem in specific agricultural areas. Using regression and neural networks, this study models nitrate concentration in ground water as a function of iron concentration in ground water, season and distance of the well from a poultry house. Results from both techniques are comparable and show that the distance of the well from a poultry house has a significant effect on nitrate concentration in groundwater. Tipo: Working or Discussion Paper Palavras-chave: Environmental Economics and Policy; Livestock Production/Industries. Ano: 2003 URL: http://purl.umn.edu/15825 Registros recuperados: 2 Primeira ... 1 ... Última

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