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Paper Details
Paper Title
Simulation of the biodegradation of petroleum hydrocarbons utilizing Artificial Neural Networks
Authors
Walid M. Alalayah
Abstract
Prediction of the biodegradation of petroleum hydrocarbons, under any experimental approach is considered as a highly stochastic process. This paper presents the development of an artificial neural network (ANN) model to predict the biodegradation of petroleum hydrocarbon by Pseudomonas alkanolytica via rotating biological contractor reactor (RBC). Experimental data were collected and analyzed to predict the biodegradation of hydrocarbon under different parameters. The model structure is based on varying three input variables, such as initial biomass, hydrocarbon source and the number of rotating. The results obtained show that the proposed ANN model with a nonlinear architecture could provide significant level of prediction for the biodegradation of hydrocarbons and provided a high level of accuracy for the training and testing stages with a maximum error of 10 % and 2% respectively.
Keywords- biological treatment; hydrocarbon dodecane; Pseudomonas alkanolytica; rotating biological Contractor (RBC).
Publication Details
Unique Identification Number - IJEDR1704145Page Number(s) - 891-896Pubished in - Volume 5 | Issue 4 | November 2017DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Walid M. Alalayah, "Simulation of the biodegradation of petroleum hydrocarbons utilizing Artificial Neural Networks", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 4, pp.891-896, November 2017, Available at :http://www.ijedr.org/papers/IJEDR1704145.pdf
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