Uncertainty analysis on hybrid double feedforward neural network model for sediment load estimation with LUBE method
The assessment of uncertainty prediction has become a necessity for most modeling studies
within the hydrology community. This paper addresses uncertainty analysis on a novel …
within the hydrology community. This paper addresses uncertainty analysis on a novel …
A hybrid double feedforward neural network for suspended sediment load estimation
Estimation of suspended sediment loads (SSL) in rivers is an important issue in water
resources management and planning. This study proposes a hybrid double feedforward …
resources management and planning. This study proposes a hybrid double feedforward …
Nonpoint sources
D Gang, KY Lee, RK Kadari - 2006 - JSTOR
Nonpoint Sources (NPS) pollution is caused by rainfall or snowmelt moving over and
through the ground. As the runoff moves, it picks up and carries away natural and human …
through the ground. As the runoff moves, it picks up and carries away natural and human …
Hybrid model of neural network and population-based optimization algorithm for river flow and sediment load
X Chen - 2018 - theses.lib.polyu.edu.hk
River flow forecasting and sediment load estimation are important issues in the hydrological
field, and customarily undertaken by data-driven models. Despite the amount of research on …
field, and customarily undertaken by data-driven models. Despite the amount of research on …