Longitudinal dispersive coefficient in channels with aquatic vegetation: A review

L Yang, H Fang, Z Yang, W Huai - Journal of Hydrodynamics, 2023 - Springer
The determination of longitudinal dispersion coefficient in rivers is necessary for pollution
control, environmental risk assessment, and management. In rivers with aquatic vegetation …

Prediction of the five-day biochemical oxygen demand and chemical oxygen demand in natural streams using machine learning methods

M Najafzadeh, A Ghaemi - Environmental monitoring and assessment, 2019 - Springer
Rivers, as the most prominent component of water resources, have a key role to play in
increasing the life expectancy of living creatures. The essential characteristics of water …

Estimating longitudinal dispersion coefficient in natural streams using empirical models and machine learning algorithms

K Kargar, S Samadianfard, J Parsa… - Engineering …, 2020 - Taylor & Francis
The longitudinal dispersion coefficient (LDC) plays an important role in modeling the
transport of pollutants and sediment in natural rivers. As a result of transportation processes …

Hybrid Taguchi-differential evolution algorithm for optimization of multi-pass turning operations

AR Yildiz - Applied Soft Computing, 2013 - Elsevier
Hybridizing of the optimization algorithms provides a scope to improve the searching
abilities of the resulting method. The purpose of this paper is to develop a novel hybrid …

How reliable are ANN, ANFIS, and SVM techniques for predicting longitudinal dispersion coefficient in natural rivers?

R Noori, Z Deng, A Kiaghadi… - Journal of Hydraulic …, 2016 - ascelibrary.org
Determination of longitudinal dispersion coefficient (LDC) using artificial intelligence (AI)
techniques can improve environmental management strategies for river systems. However …

Evaluation of neuro-fuzzy GMDH-based particle swarm optimization to predict longitudinal dispersion coefficient in rivers

M Najafzadeh, A Tafarojnoruz - Environmental Earth Sciences, 2016 - Springer
In the present research, neuro-fuzzy-based group method of data handling (NF-GMDH) has
been applied to evaluate the longitudinal dispersion coefficient in rivers. The NF-GMDH …

[HTML][HTML] Prediction of discharge coefficient of triangular labyrinth weirs using Adaptive Neuro Fuzzy Inference System

AH Haghiabi, A Parsaie, S Ememgholizadeh - Alexandria Engineering …, 2018 - Elsevier
In this paper, the discharge coefficient of triangular labyrinth weir was predicted using multi-
layer perceptron (MLP) neural network and Adaptive Neuro Fuzzy Inference System …

Seed yield prediction of sesame using artificial neural network

S Emamgholizadeh, M Parsaeian… - European Journal of …, 2015 - Elsevier
The prediction of seed yield is one of the most important breeding objectives in agricultural
research. So, in this study, two methods namely artificial neural network (ANN) and multiple …

Predicting longitudinal dispersion coefficient in natural streams using M5′ model tree

A Etemad-Shahidi, M Taghipour - Journal of hydraulic engineering, 2012 - ascelibrary.org
The longitudinal dispersion coefficient is a key parameter in determining the distribution of
pollution concentration, especially in temporally time-varying source cases after full cross …

Real-time operation of reservoir system by genetic programming

E Fallah-Mehdipour, O Bozorg Haddad… - Water resources …, 2012 - Springer
Reservoir operation policy depends on specific values of deterministic variables and
predictable actions as well as stochastic variables, in which small differences affect water …