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|Title:||Development of a neural network model for dissolved oxygen in seawater||Authors:||Palani, S.
|Issue Date:||Jun-2009||Citation:||Palani, S.,Liong, S.-Y.,Tkalich, P.,Palanichamy, J. (2009-06). Development of a neural network model for dissolved oxygen in seawater. Indian Journal of Marine Sciences 38 (2) : 151-159. ScholarBank@NUS Repository.||Abstract:||Present paper consists the results from a study conducted to test the adequacy of artificial neural networks in modelling of dissolved oxygen (DO) in seawater. The input variables for ANN DO models are selected by statistical analysis. The ranking of important inputs and their mode of action on the output DO are obtained based on the expert's opinion. The calibrated neural network models predict the DO concentration with satisfactory accuracy, producing high correlations between measured and predicted values (R2>0.8, MAE||Source Title:||Indian Journal of Marine Sciences||URI:||http://scholarbank.nus.edu.sg/handle/10635/115065||ISSN:||03795136|
|Appears in Collections:||Staff Publications|
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