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Toplam kayıt 31, listelenen: 21-30
Hybrid models for suspended sediment prediction: optimized random forest and multi-layer perceptron through genetic algorithm and stochastic gradient descent methods
(Springer, 2021)
Owing to the nonlinear and non-stationary nature of the suspended sediment transport in rivers, suspended sediment concentration (SSC) modeling is a challenging task in environmental engineering. Investigation of SSC is ...
Sediment transport modeling in non-deposition with clean bed condition using different tree-based algorithms
(Public Library of Science, 2021)
To reduce the problem of sedimentation in open channels, calculating flow velocity is critical. Undesirable operating costs arise due to sedimentation problems. To overcome these problems, the development of machine learning ...
Electrical Energy Demand Prediction: A Comparison Between Genetic Programming And Decision Tree
(2020)
Several recent studies have used various data mining techniques to obtain accurate electrical energy demand forecasts in power supply systems. This paper, for the first time, compares the efficiency of the decision tree ...
Weighted instances handler wrapper and rotation forest-based hybrid algorithms for sediment transport modeling
(Elsevier, 2021-07)
Sediment transport modeling has been known as an essential issue and challenging task in water resources and environmental engineering. In order to minimize the adverse impacts of the continues sediment deposition that is ...
Invasive weed optimization-based adaptive neuro-fuzzy inference system hybrid model for sediment transport with a bed deposit
(Journal of Cleaner Production, 2020)
Inasmuch as channels are designed to mitigate continues sedimentation, sediment transport models have been developed to calculate flow velocity to keep sediment particles in motion. In order to promote the computation ...
Hybridization of multivariate adaptive regression splines and random forest models with an empirical equation for sediment deposition prediction in open channel flow
(Journal of Hydrology, 2020)
It has been known that the channel cross-section shape impacts on flow velocity at sediment deposition condition; however, existing models only apply to specific cross-section shapes and there has been a lack of a general ...
Rainfall-runoff modeling through regression in the reproducing kernel Hilbert space algorithm
(Journal of Hydrology, 2020)
In this study, Regression in the Reproducing Kernel Hilbert Space (RRKHS) technique which is a non-linear regression approach formulated in the reproducing kernel Hilbert space (RRKHS) is applied for rainfall-runoff (R-R) ...
Drought modeling using classic time series and hybrid wavelet-gene expression programming models
(Journal of Hydrology, 2020)
The standardized precipitation evapotranspiration index (SPEI) at three different time scales (i.e., SPEI-3, SPEI-6, and SPEI-12) from six meteorology stations located in Turkey are modeled in this study. To this end, two ...
An ensemble genetic programming approach to develop incipient sediment motion models in rectangular channels
(Journal of Hydrology, 2020)
Assimilating unique features of genetic programming (GP) and gene expression programming (GEP), this study introduces a hybrid algorithm which results in promising incipient non-cohesive sediment motion models. The new ...
Application of Soft Computing Techniques for Particle Froude Number Estimation in Sewer Pipes
(Journal of Pipeline Systems Engineering and Practice, 2020)
Sedimentation in sewer networks is a major problem in urban hydrology. In comparison to the well-known classic sediment transport models, this study investigates the capabilities of soft computing methods, including multigene ...