Now showing items 1-4 of 4
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 ...
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 ...
Strength prediction of high-strength concrete by fuzzy logic and artificial neural networks
(American Society of Civil Engineers, 2014-11-01)
High-strength concretes (HSC) were prepared with five different binder contents, each of which had several silica fume (SF) ratios (0-15%). The compressive strength was determined at 3, 7, and 28 days, resulting in a total ...
Predicting suspended sediment loads and missing data for Gediz River, Turkey
(American Society of Civil Engineers, 2009)
Prediction of suspended sediment load (SSL) is important for water resources quantity and quality studies. The SSL of a stream is generally determined by direct measurement of the suspended sediment concentration or by ...