An artificial neural network model for the effects of chicken manure on ground water

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dc.authoridYuceer, Mehmet/0000-0002-2648-3931
dc.authorwosidSexton, Susan/E-9348-2012
dc.authorwosidYuceer, Mehmet/E-5110-2012
dc.contributor.authorKaradurmus, Erdal
dc.contributor.authorCesmeci, Mustafa
dc.contributor.authorYuceer, Mehmet
dc.contributor.authorBerber, Ridvan
dc.date.accessioned2024-08-04T20:35:38Z
dc.date.available2024-08-04T20:35:38Z
dc.date.issued2012
dc.departmentİnönü Üniversitesien_US
dc.description.abstractIn the areas where broiler industry is located, poultry manure from chicken farms could be a major source of ground water pollution, and this may have extensive effects particularly when the farms use nearby ground water as their fresh water supply. Therefore the prediction the extent of this pollution, either from rigorous mathematical diffusion modeling or from the perspective of experimental data evaluation bears importance. In this work, we have investigated modeling of the effects of chicken manure on ground water by artificial neural networks. An ANN model was developed to predict the total coliform in the ground water well in poultry farms. The back-propagation algorithm was employed for training and testing the network, and the Levenberg-Marquardt algorithm was utilized for optimization. The MATLAB 7.0 environment with Neural Network Toolbox was used for coding. Given the associated input parameters such as the number of chickens, type of manure pool management and depth of well, the model estimates the possible amount of total coliform in the wells to a satisfactory degree. Therefore it is expected to be of help in future for estimating the ground water pollution resulting from chicken farms. (C) 2011 Elsevier B. V. All rights reserved.en_US
dc.identifier.doi10.1016/j.asoc.2011.08.017
dc.identifier.endpage497en_US
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-81155133671en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage494en_US
dc.identifier.urihttps://doi.org/10.1016/j.asoc.2011.08.017
dc.identifier.urihttps://hdl.handle.net/11616/95489
dc.identifier.volume12en_US
dc.identifier.wosWOS:000296986100047en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofApplied Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectANNen_US
dc.subjectPoultry farmsen_US
dc.subjectWater pollutionen_US
dc.titleAn artificial neural network model for the effects of chicken manure on ground wateren_US
dc.typeArticleen_US

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