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Exact(8)
Because of the need to simplify hydrological models, parameters are often included to help with modelling hydrological processes.
Values of the models parameters are given in Table 8.
An update of the fuzzy models parameters are obtained using Lyapunov׳s second method.
Thus, the models' parameters are jointly optimized to minimize the overall misclassification error using a discriminative learning approach [25].
For instance, random noise does not disturb them to recognize the real correlation, and models' parameters are estimated via a quasi-maximum likelihood method.
The results indicate that both the model provides a good match with the experimental data when proper values for the models' parameters are taken into account.
Similar(51)
Only model parameters are mandatory.
Model parameters are provided in Table 2.
Other model parameters are easier to determine.
The model parameters are calculated using Eqs.
Model parameters are listed in Table 1.
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