Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/115065
Title: Development of a neural network model for dissolved oxygen in seawater
Authors: Palani, S. 
Liong, S.-Y. 
Tkalich, P. 
Palanichamy, J.
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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