Modeling dimensionless longitudinal dispersion coefficient in natural streams using artificial intelligence methods
- 13 September 2013
- journal article
- Published by Springer Science and Business Media LLC in KSCE Journal of Civil Engineering
- Vol. 18 (2), 718-730
- https://doi.org/10.1007/s12205-014-0089-y
Abstract
No abstract availableKeywords
This publication has 80 references indexed in Scilit:
- An RBF network with a two-step learning algorithm for developing a reservoir inflow forecasting modelJournal of Hydrology, 2011
- Development of an artificial neural network model for determination of longitudinal and transverse dispersivities in a convergent flow tracer testJournal of Hydrology, 2010
- Response to the slug injection of a tracer—a large-scale experiment in a natural river / Réponse à l'injection impulsionnelle d'un traceur—expérience à grande échelle en rivière naturelleHydrological Sciences Journal, 2008
- Comparison of artificial neural network models for hydrologic predictions at multiple gauging stations in an agricultural watershedHydrological Processes, 2008
- Radial basis function networks applied to DNBR calculation in digital core protection systemsAnnals of Nuclear Energy, 2003
- FUZZY ITERATION METHODOLOGY FOR RESERVOIR FLOOD CONTROL OPERATION1Jawra Journal of the American Water Resources Association, 2001
- Application of a fractional advection‐dispersion equationWater Resources Research, 2000
- Renormalization group analysis of macrodispersion in a directed random flowWater Resources Research, 1997
- Numerical solution of the differential equation for moving front dispersionJournal of Hydrology, 1997
- Statistical Hydrodynamics in Porous MediaJournal of Applied Physics, 1954