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

Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System

(2019) Majid Dehghani et al.   Energies

Daily global solar radiation modeling using data-driven techniques and empirical equations in a semi-arid climate

(2019) Saeed Samadianfard et al.   Engineering Applications of Computational Fluid Mechanics

Modeling monthly pan evaporation using wavelet support vector regression and wavelet artificial neural networks in arid and humid climates

(2019) Sultan Noman Qasem et al.   Engineering Applications of Computational Fluid Mechanics

Estimating Daily Dew Point Temperature Using Machine Learning Algorithms

(2019) Sultan Noman Qasem et al.   Water

Sediment transport modeling in open channels using neuro-fuzzy and gene expression programming techniques

(2019) Katayoun Kargar et al.   WATER SCIENCE AND TECHNOLOGY

Support Vector Regression Integrated with Fruit Fly Optimization Algorithm for River Flow Forecasting in Lake Urmia Basin

(2019) Saeed Samadianfard et al.   Water

Forecasting river water temperature time series using a wavelet–neural network hybrid modelling approach

(2019) Renata Graf et al.   JOURNAL OF HYDROLOGY

Modeling daily water temperature for rivers: comparison between adaptive neuro-fuzzy inference systems and artificial neural networks models

(2018) Senlin Zhu et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Development of a spatially complete floodplain map of the conterminous United States using random forest

(2018) Sean A. Woznicki et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Flood Prediction Using Machine Learning Models: Literature Review

(2018) Amir Mosavi et al.   Water

An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines

(2018) Bahram Choubin et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Longitudinal dispersion in an open channel determined from a tracer study

(2017) Tomáš Julínek et al.   Environmental Earth Sciences

Toward multi-day-ahead forecasting of suspended sediment concentration using ensemble models

(2017) Mohamad Javad Alizadeh et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Physically sound formula for longitudinal dispersion coefficients of natural rivers

(2017) Yu-Fei Wang et al.   JOURNAL OF HYDROLOGY

How Reliable Are ANN, ANFIS, and SVM Techniques for Predicting Longitudinal Dispersion Coefficient in Natural Rivers?

(2016) Roohollah Noori et al.   JOURNAL OF HYDRAULIC ENGINEERING

A Hybrid Double Feedforward Neural Network for Suspended Sediment Load Estimation

(2016) Xiao Yun Chen et al.   WATER RESOURCES MANAGEMENT

Intelligent analysis of global warming effects on sea surface temperature in Hormuzgan Coast, Persian Gulf

(2016) Saeed Samadianfard et al.   International Journal of Global Warming

How Reliable Are ANN, ANFIS, and SVM Techniques for Predicting Longitudinal Dispersion Coefficient in Natural Rivers?

(2016) Roohollah Noori et al.   JOURNAL OF HYDRAULIC ENGINEERING

A comparison of various artificial intelligence approaches performance for estimating suspended sediment load of river systems: a case study in United States

(2015) Ehsan Olyaie et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Estimation of longitudinal dispersion coefficient in rivers

(2013) Yuhong Zeng et al.   Journal of Hydro-environment Research

Monthly river flow forecasting using artificial neural network and support vector regression models coupled with wavelet transform

(2012) Aman Mohammad Kalteh   COMPUTERS & GEOSCIENCES

Predicting Longitudinal Dispersion Coefficient in Natural Streams Using M5′ Model Tree

(2012) Amir Etemad-Shahidi et al.   JOURNAL OF HYDRAULIC ENGINEERING

An evaluation of ANN methods for estimating the lengths of hydraulic jumps in U-shaped channel

(2012) Larbi Houichi et al.   JOURNAL OF HYDROINFORMATICS

A comparison of methods to avoid overfitting in neural networks training in the case of catchment runoff modelling

(2012) Adam P. Piotrowski et al.   JOURNAL OF HYDROLOGY

Prediction of longitudinal dispersion coefficients in natural rivers using artificial neural network

(2010) Rajeev Ranjan Sahay   ENVIRONMENTAL FLUID MECHANICS

Genetic Programming for Predicting Longitudinal Dispersion Coefficients in Streams

(2010) Hazi Mohammad Azamathulla et al.   WATER RESOURCES MANAGEMENT

Prediction of longitudinal dispersion coefficients in natural rivers using genetic algorithm

(2009) Rajeev Ranjan Sahay et al.   HYDROLOGY RESEARCH

An expert system for predicting longitudinal dispersion coefficient in natural streams by using ANFIS

(2008) Hossien Riahi-Madvar et al.   EXPERT SYSTEMS WITH APPLICATIONS

Empirical characterization of random forest variable importance measures

(2007) Kellie J. Archer et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS