Longitudinal dispersion coefficient in straight rivers

By Z. Deng, Vijay P. Singh, L. Bengtsson. 2001

243 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Gene expression models for prediction of longitudinal dispersion coefficient in streams (2015, methodology): “GEP-1 500 394 78 GEP-2 555 344 62 Disley et al. (2015) 505 437 87 Etemad-Shahidi and Taghipour (2012) 473 401 85 Deng et al.”
Differential Evolution for Prediction of Longitudinal Dispersion Coefficients in Natural Streams (2013, methodology): “In this paper, data consisting of 65 sets of observations from 29 rivers (Deng et al. 2001) in the unite states are used to evaluate the performance and applicability of the proposed differential evolution.”
Prediction of longitudinal dispersion coefficients in natural rivers using genetic algorithm (2009, methodology): “Data consisting of 65 sets of observations from 29 rivers in the United States, as shown in Table 1, has been used for illustration (Deng et al. 2001). The reason for selecting this data is twofold: (i) it represents a wide range of geometric (W, H) and flow (U, Up) characteristics of natural stream”
Uncertainty analysis of developed ANN and ANFIS models in prediction of carbon monoxide daily concentration (2010, background): “95% confidence intervals for the estimates of daily CO con Deng et al. (2001), Kashefipour and Falconer (2002), Tayfur and Singh (2005).”