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Predicting Longitudinal Dispersion Coefficient in Natural Streams by Artificial Neural Network
(2005-11-01)
An artificial neural network (ANN) model was developed to predict the longitudinal dispersion coefficient in natural streams and rivers. The hydraulic variables [flow discharge (Q), flow depth (H), flow velocity (U), shear ...
Case Study: Finite Element Method and Artificial Neural Network Models for Flow through Jeziorsko Earthfill Dam in Poland
(2005-06-01)
A finite element method (FEM) and an artificial neural network (ANN) model were developed to simulate flow through
Jeziorsko earthfill dam in Poland. The developed FEM is capable of simulating two-dimensional unsteady and ...
ANN and Fuzzy Logic Models for Simulating Event-Based Rainfall-Runoff
(2006-12-01)
This study presents the development of artificial neural network _ANN_ and fuzzy logic _FL_ models for predicting event-based rainfall runoff and tests these models against the kinematic wave approximation _KWA_. A three-layer ...
Analysis of Soil Water Retention Data Using Artificial Neural Networks
(2004-09-05)
Many studies of water flow and solute transport in the vadose zone require estimates of the unsaturated soil hydraulic properties, including the soil water retention curve (WRC) describing the relationship between soil ...