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Improving flood forecasting in a develo** country: a comparative study of stepwise multiple linear regression and artificial neural network
ZZ Latt, H Wittenberg - Water resources management, 2014 - Springer
Due to limited data sources, practical situations in most develo** countries favor black-box
models in real time operations. In a simple and robust approach, this study examines …
models in real time operations. In a simple and robust approach, this study examines …
Application of data driven techniques in discharge rating curve-an overview
Establishing a reliable rating curve is an integral part of water resource engineering. The
present paper is a review of data driven techniques used for modelling the stage discharge …
present paper is a review of data driven techniques used for modelling the stage discharge …
Modeling of stage–discharge relationship for Gharraf River, southern Iraq using backpropagation artificial neural networks, M5 decision trees, and Takagi–Sugeno …
AM Al-Abadi - Applied Water Science, 2016 - Springer
The potential of using three different data-driven techniques namely, multilayer perceptron
with backpropagation artificial neural network (MLP), M5 decision tree model, and Takagi …
with backpropagation artificial neural network (MLP), M5 decision tree model, and Takagi …
A spreadsheet approach for prediction of rating curve parameters
Streamflow data is required for planning and design of various hydraulic structures and
water resource projects such as bridges, culverts, flood plain zoning, flood protection works …
water resource projects such as bridges, culverts, flood plain zoning, flood protection works …
A stepwise model to predict monthly streamflow
In this study, a stepwise model empowered with genetic programming is developed to
predict the monthly flows of Hurman River in Turkey and Diyalah and Lesser Zab Rivers in …
predict the monthly flows of Hurman River in Turkey and Diyalah and Lesser Zab Rivers in …
[PDF][PDF] Prediction of water table elevation fluctuation through fuzzy logic & artificial neural networks
Soft Computing tools are becoming very popular in solving hydrological problems. These
tools have immense strength to deal with such complex problems. Water Table elevation …
tools have immense strength to deal with such complex problems. Water Table elevation …
Recent trends and applications of fuzzy logic
Classical set theory, which is based on dichotomy, is not applicable in cases where
vagueness is involved. Fuzzy logic is based on the idea of relative graded membership …
vagueness is involved. Fuzzy logic is based on the idea of relative graded membership …
Monthly flow forecast for Mississippi River basin using artificial neural networks
Long-term monthly flow forecasts are essential for decision making in a river basin system.
Many studies have already been reported on monthly as well as seasonal forecast using …
Many studies have already been reported on monthly as well as seasonal forecast using …
[PDF][PDF] Rainfall-runoff modeling using artificial neural networks (ANNs) and multiple linear regression (MLR) techniques
Runoff prediction has an important role in hydrology, water management, flood prediction
and socio-economical concern. The effective flood management is always of great …
and socio-economical concern. The effective flood management is always of great …
Stage-discharge modeling using support vector machines
Establishment of RATING CURVE s are often required by the hydrologists for flow estimates
in the streams, rivers etc. Measurement of discharge in a river is a time-consuming …
in the streams, rivers etc. Measurement of discharge in a river is a time-consuming …