Now showing items 1-5 of 5
ANN and fuzzy logic models for simulating event-based rainfall-runoff
(American Society of Civil Engineers, 2006-12)
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 ...
Artificial neural network (ANN) prediction of compressive strength of VARTM processed polymer composites
A three layer feed forward artificial neural network (ANN) model having three input neurons, one output neuron and two hidden neurons was developed to predict the ply-lay up compressive strength of VARTM processed E-glass/ ...
Genetic algorithm-artificial neural network model for the prediction of germanium recovery from zinc plant residues
(Maney Publishing, 2002-09)
A multi-layer, feed-forward, back-propagation learning algorithm was used as an artificial neural network (ANN) tool to predict the extraction of germanium from zinc plant residues by sulphuric acid leaching. A genetic ...
Closure to "ANN and fuzzy logic models for simulating event-based rainfall-runoff" by Gokmen Tayfur and Vijay P. Singh
(American Society of Civil Engineers, 2008-09)
We would like to thank Dr. Wong for his interest in and thoughts on our analysis of runoff hydrograph prediction and the goodnessof-fit measurement. We agree that visual comparison of simulated and measured hydrographs is ...
Predicting longitudinal dispersion coefficient in natural streams by artificial neural network
(American Society of Civil Engineers, 2005-11)
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 ...