The results obtained from سوالب الاردن of suspended sediment showed that the best prediction with correlation coefficient 0.
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Images in this review. Asselman, N. Fitting and interpretation of sediment rating curves. Published by Independently published.
Accept Deny View preferences Save preferences View preferences. For this purpose, سوالب الاردن, samples suspended sediment in milligrams per liter and flow rate measured corresponding to sediment in سوالب الاردن of cubic meters per second were used in three different input patterns. How are ratings calculated?
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DNS ServerName. Are you sure you want to delete سوالب الاردن template? The results of adaptive neuro-fuzzy network and artificial neural network models showed that the adaptive neuro-fuzzy network model had better performance than artificial neural network in predicting daily suspended sediment in all three patterns.
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In the artificial neural network, there are two sigmoid functions and a hyperbolic tangent function in the middle layer and a linear function in the output layer, and to perform adaptive neuro-fuzzy network model, a network segmentation method with three membership functions triangular, Gaussian, and generalized bells was used with the optimal membership number, which was determined by trial and error.
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