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 …

Application of data driven techniques in discharge rating curve-an overview

M Zakwan, M Muzzammil, J Alam - Aquademia, 2017 - aquademia-journal.com
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 …

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 …

A spreadsheet approach for prediction of rating curve parameters

M Muzzammil, J Alam, M Zakwan - Hydrologic Modeling: Select …, 2018 - Springer
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 …

A stepwise model to predict monthly streamflow

AM Al-Juboori, A Guven - Journal of Hydrology, 2016 - Elsevier
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 …

[PDF][PDF] Prediction of water table elevation fluctuation through fuzzy logic & artificial neural networks

D Bisht, S Jain, MM Raju - International Journal of Advanced …, 2013 - researchgate.net
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 …

Recent trends and applications of fuzzy logic

PK Srivastava, DCS Bisht - Advanced fuzzy logic approaches in …, 2019 - igi-global.com
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 …

Monthly flow forecast for Mississippi River basin using artificial neural networks

C Sivapragasam, S Vanitha, N Muttil… - Neural Computing and …, 2014 - Springer
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 …

[PDF][PDF] Rainfall-runoff modeling using artificial neural networks (ANNs) and multiple linear regression (MLR) techniques

VK Singh, P Kumar, BP Singh - Indian J Ecol, 2016 - researchgate.net
Runoff prediction has an important role in hydrology, water management, flood prediction
and socio-economical concern. The effective flood management is always of great …

Stage-discharge modeling using support vector machines

A Goel, M Pal - 2012 - sid.ir
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 …