In this study linear genetic programming (LGP), which is a variant of Genetic Programming,
and two versions of Neural Networks (NNs) are used in predicting time-series of daily flow …

Total sediment load exerts control over the river channel morphology. Due to the non-linear
and multi-dimensional behavior of the variables impacting total sediment load, the prediction …

Genetic programming (GP) has nowadays attracted the attention of researchers in the
prediction of hydraulic data. This study presents linear genetic programming (LGP), which is …

Researchers in the past had noticed that application of Artificial Neural Networks (ANN) in
place of conventional statistics on the basis of data mining techniques predicts more …

Artificial neural network (ANN) s have been applied to solve a variety of problems related to
the coastal and ocean areas over a period of last one and a half decades. Most of these …

Artificial neural networks (ANNs) and genetic programming (GP) have recently been used
for the estimation of hydraulic data. In this study, they were used as alternative tools to …

In order to predict changes in coastal profile, it is necessary to investigate the sediment
transport rate along the coast. Sediment transport is important in the areas of sedimentology …

The sedimentation is a pervasive complex hydrological process subjected to each and every
reservoir in world at different extent. Hydrographic surveys are considered as most accurate …

Accurate prediction of longshore sediment transport in the nearshore zone is essential for
control of shoreline erosion and beach evolution. In this paper, a hybrid Adaptive-Network …

Gene expression programing (GEP) is used to estimate the suspended sediment yield (SSY)
in Euphrates River. SSY is considered to be a function of (i) discharge and (ii) time‐lagged …