DOI:​10.1016/J.JHYDROL.2012.05.031
Corpus ID: 140189570
Suspended sediment modeling using genetic programming and soft computing techniques
O. Kisi, Ali Hosseinzadeh Dailr, +1 author J. Shiri
Published 2012
Mathematics
Journal of Hydrology
Summary Modeling suspended sediment load is an important factor in water resources engineering as it crucially affects the design and management of water resources structures. In this study the… Expand
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137 Citations
Highly Influential Citations
6
Background Citations
27
Methods Citations
24
Results Citations
4
137 Citations
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The performance of ANN and CHAID tree models are good when compared to SVM models and the usage of a suspended load as an additional input for the models boosts the model performances and the suspended load has significant contributions to all models. Expand
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Prediction of suspended sediment concentration in hyper-concentrated rivers is a crucial task in modeling and designing of hydraulic structures such as dams, reservoirs, barrages and water intake… Expand
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References
SHOWING 1-10 OF 59 REFERENCES
A genetic programming approach to suspended sediment modelling
Ali Aytek, O. Kisi
Mathematics
2008
Summary This study proposes genetic programming (GP) as a new approach for the explicit formulation of daily suspended sediment–discharge relationship. Empirical relations such as sediment rating… Expand
180 Citations
Estimation and forecasting of daily suspended sediment data using wavelet–neural networks
T. Partal, H. K. Cigizoglu
Environmental Science
2008
Summary Accurate prediction of the suspended sediment loads in streams is important for water resources engineering. Suspended sediments are a determining factor of the service life of hydraulic… Expand
177 Citations
An application of artificial intelligence for rainfall-runoff modeling
Ali Aytek, M. Asce, Murat Alp
Mathematics
2008
This study proposes an application of two techniques of artificial intelligence (AI) for rainfall-runoff modeling: the artificial neural networks (ANN) and the evolutionary computation (EC). Two… Expand
Evolutionary fuzzy models for river suspended sediment concentration estimation.
O. Kisi
Environmental Science
2009
This paper proposes the application of evolutionary fuzzy models (EFMs) for suspended sediment concentration estimation. The EFMs are improved by the combination of two methods, fuzzy logic and… Expand
40 Citations
Suspended sediment estimation using neuro-fuzzy and neural network approaches/Estimation des matières en suspension par des approches neurofloues et à base de réseau de neurones
Ozgur Kisi
Geology
2005
Abstract The abilities of neuro-fuzzy (NF) and neural network (NN) approaches to model the streamflow–suspended sediment relationship are investigated. The NF and NN models are established for… Expand
313 Citations
ESTIMATION AND FORECASTING OF DAILY SUSPENDED SEDIMENT DATA BY MULTI-LAYER PERCEPTRONS
H. K. Cigizoglu
Environmental Science
2004
The determination of the suspended sediment amount on the rivers is of crucial importance since it directly affects the design and operation of many water resources structures. In this study the… Expand
235 Citations
A Genetic Programming Approach to Rainfall-Runoff Modelling
D. Savic, G. Walters, J. W. Davidson
Computer Science
1999
TLDR
Genetic programming is introduced, which is an evolutionary computing method that provides a ‘transparent’ and structured system identification, to rainfall-runoff modelling and is applied to flow prediction for the Kirkton catchment in Scotland. Expand
207 Citations
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Suspended Sediment Estimation and Forecasting using Artificial Neural Networks
H. K. Cigizoglu
Environmental Science
2002
The methods available in the literature for sediment concentration estimation are complicated and time consuming and necessitate cumbersome parameter estimation procedures. In this study, artificial… Expand
43 Citations
PDF
Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain)
J. Shiri, O. Kisi, G. Landeras, J. J. López, A. Nazemi, L. Stuyt
Environmental Science
2012
Summary Evapotranspiration, as a major component of the hydrological cycle, is of importance for water resources management and development, as well as for estimating the water budget of irrigation… Expand
123 Citations
Precipitation Forecasting Using Wavelet-Genetic Programming and Wavelet-Neuro-Fuzzy Conjunction Models
O. Kisi, J. Shiri
Engineering
2011
Forecasting precipitation as a major component of the hydrological cycle is of primary importance in water resources engineering, planning and management as well as in scheduling irrigation… Expand
147 Citations
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