NDLI: Estimation of Nutrient Concentrations in Runoff from Beef Cattle Feedlot using Adaptive Neuro-Fuzzy Inference Systems

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Estimation of Nutrient Concentrations in Runoff from Beef Cattle Feedlot using Adaptive Neuro-Fuzzy Inference Systems

Content Provider	Semantic Scholar
Author	Şimşek, Halis Cemek, Bilal Odabas, Mehmet Serhat Rahman, Shafiqur
Copyright Year	2015
Abstract	Nutrient concentrations in runoff from beef cattle feedlots were estimated using two different adaptive network-based fuzzy inference systems (ANFIS), which were: (1) grid partition (ANFIS-GP) and (2) subtractive clustering based fuzzy inference system (ANFIS-SC). The input parameters were pH and electrical conductivity (EC); and the output parameters were total Kjeldahl nitrogen (TKN), ammonium-N (NH4-N), orthophosphate (ortho-P), and potassium (K). Models performances were evaluated based on root mean square error, mean absolute error, mean bias error, and determination coefficient statistics. For the same dataset, the ANFIS model outputs were also compared with a previously published nutrient concentration predictability model for runoff using artificial neural network (ANN) outputs. Results showed that both ANFIS-GP and ANFIS-SC models successfully predicted the runoff nutrient concentration. The comparison results revealed that the ANFIS-GP model performed slightly better than ANFIS-SC model in estimating TKN, NH4-N, ortho-P, and K. When compared with the ANN model for the same dataset, ANFIS outperformed ANN in nutrient concentration prediction in runoff.
Starting Page	501
Ending Page	518
Page Count	18
File Format	PDF HTM / HTML
DOI	10.14311/nnw.2015.25.025
Volume Number	25
Alternate Webpage(s)	https://www.ndsu.edu/fileadmin/aben/Papers/2_Simsek_et_al_Fuzzy_modeling.pdf
Alternate Webpage(s)	http://nnw.cz/doi/2015/NNW.2015.25.025.pdf
Alternate Webpage(s)	http://nnw.cz/doi/2015/2015_25_025.pdf
Alternate Webpage(s)	https://doi.org/10.14311/nnw.2015.25.025
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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