Indian Journal of Marine Sciences Vol. 38(2), June 2009, pp. 151-159
Development of a neural network model for dissolved oxygen in seawater Sundarambal Palani1*, Shie-Yui Liong1, Pavel Tkalich1 and Jegathambal Palanichamy2 1
Tropical Marine Science Institute, National University of Singapore, Singapore, 119223 Institute of Hydraulic Engineering and Water Resources Management, RWTH Aachen University, Germany, 52056. (e-mail: 1*
[email protected]).
2
Received 11 June 2008; revised 25 September 2008 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
