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 …
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
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 …
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
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 …
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 …
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?
Determination of longitudinal dispersion coefficient (LDC) using artificial intelligence (AI)
techniques can improve environmental management strategies for river systems. However …
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
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 …
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
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 …
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 …
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
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 …
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 …
predictable actions as well as stochastic variables, in which small differences affect water …