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 …
Prediction of side weir discharge coefficient by support vector machine technique
Side weirs have many possible applications in the field of hydraulic engineering. They are
also considered an important structure in hydro systems. In this study, the support vector …
also considered an important structure in hydro systems. In this study, the support vector …
Novel forecasting models for immediate-short-term to long-term influent flow prediction by combining ANFIS and grey wolf optimization
Accurate influent flow forecasting plays a significant role in management, operation,
scheduling and utilization of the sewage treatment plants. In design and operate such …
scheduling and utilization of the sewage treatment plants. In design and operate such …
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 …
Support vector machine approach for longitudinal dispersion coefficients in natural streams
HM Azamathulla, FC Wu - Applied Soft Computing, 2011 - Elsevier
This paper presents the support vector machine approach to predict the longitudinal
dispersion coefficients in natural rivers. Collected published data from the literature for the …
dispersion coefficients in natural rivers. Collected published data from the literature for the …
Estimating daily reference evapotranspiration using hybrid gamma test-least square support vector machine, gamma test-ANN, and gamma test-ANFIS models in an …
In this study, a hybrid model of least square support vector machine-gamma test (LSSVM-
GT) is proposed for estimating daily ETo under arid conditions of Zahedan station, Iran …
GT) is proposed for estimating daily ETo under arid conditions of Zahedan station, Iran …
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 …
The prediction of longitudinal dispersion coefficient in natural streams using LS-SVM and ANFIS optimized by Harris hawk optimization algorithm
Accurate calculation of the longitudinal dispersion coefficient (K x) of pollution is essential in
modeling river pollution status. Various equations are presented to calculate the K x using …
modeling river pollution status. Various equations are presented to calculate the K x using …
Genetic programming for predicting longitudinal dispersion coefficients in streams
This paper presents a genetic programming (GP) approach to predict the longitudinal
dispersion coefficients in natural streams. Published data were compiled from the literature …
dispersion coefficients in natural streams. Published data were compiled from the literature …