Artificial Neural Network - Water Quality Management: Assessment and Interpretation - page 88

The least amount error when applying the TN as an input to the MLP model was
10.73 % with 13 neuron chosen in the hidden layer. Correlation coef cients in

training, testing and total are 0.963, 0.957 and 0.968 respectively, which may
indicate acceptability of the MLP model and may present the role of the TN
parameter in contamination of the wetland.
As a whole, the results of this study may help to decision makers in water quality
management in Zaribar Lake and application of the technique may apply to another
part of the world.

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