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Development of a neural network model for dissolved oxygen in seawater
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View Archive Info| Field | Value | |
| Title |
Development of a neural network model for dissolved oxygen in seawater
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| Creator |
Palani, Sundarambal
Liong, Shie-Yui Tkalich, Pavel Palanichamy, Jegathambal |
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| Description |
151-159
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 |
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| Date |
2009-06-16T05:30:10Z
2009-06-16T05:30:10Z 2009-06 |
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| Type |
Article
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| Identifier |
0975-1033 (Online); 0379-5136 (Print)
http://hdl.handle.net/123456789/4664 |
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| Language |
en_US
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| Publisher |
CSIR
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| Source |
IJMS Vol.38(2) [June 2009]
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