Solar radiation prediction using different techniques: model evaluation and comparison
Daily observations of meteorological parameters, air temperature, air pressure, relative
humidity, water vapor pressure and sunshine duration hours observed at 12 stations in …
humidity, water vapor pressure and sunshine duration hours observed at 12 stations in …
[HTML][HTML] Groundwater quality forecasting modelling using artificial intelligence: A review
This review paper closely explores the techniques and significances of the most potent
artificial intelligence (AI) approaches in a concise and integrated way, specifically in the …
artificial intelligence (AI) approaches in a concise and integrated way, specifically in the …
Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS
This paper investigates the abilities of Artificial Neural Networks (ANN), Least Squares–
Support Vector Regression (LS-SVR), Fuzzy Logic, and Adaptive Neuro-Fuzzy Inference …
Support Vector Regression (LS-SVR), Fuzzy Logic, and Adaptive Neuro-Fuzzy Inference …
A comparison of various artificial intelligence approaches performance for estimating suspended sediment load of river systems: a case study in United States
Accurate and reliable suspended sediment load (SSL) prediction models are necessary for
planning and management of water resource structures. More recently, soft computing …
planning and management of water resource structures. More recently, soft computing …
Daily suspended sediment load prediction using artificial neural networks and support vector machines
In recent decades, development of artificial intelligence, as a predictor for hydrological
phenomenon, has created a great change in predictions. This paper investigates the …
phenomenon, has created a great change in predictions. This paper investigates the …
A whale optimization algorithm-trained artificial neural network for smart grid cyber intrusion detection
The smart grid is a revolutionary, intelligent, next-generation power system. Due to its cyber
infrastructure nature, it must be able to accurately and detect potential cyber-attacks and …
infrastructure nature, it must be able to accurately and detect potential cyber-attacks and …
ANN based sediment prediction model utilizing different input scenarios
Modeling sediment load is a significant factor in water resources engineering as it affects
directly the design and management of water resources. In this study, artificial neural …
directly the design and management of water resources. In this study, artificial neural …
Suspended sediment estimation using neuro-fuzzy and neural network approaches/Estimation des matières en suspension par des approches neurofloues et à base …
O Kisi - Hydrological sciences journal, 2005 - Taylor & Francis
The abilities of neuro-fuzzy (NF) and neural network (NN) approaches to model the
streamflow–suspended sediment relationship are investigated. The NF and NN models are …
streamflow–suspended sediment relationship are investigated. The NF and NN models are …
[HTML][HTML] A comparison of performance of SWAT and machine learning models for predicting sediment load in a forested Basin, Northern Spain
In water bodies, sediment transport is a potential source of numerous negative effects on
water resource projects and can damage environmental services. Two machine learning …
water resource projects and can damage environmental services. Two machine learning …
A hybrid double feedforward neural network for suspended sediment load estimation
Estimation of suspended sediment loads (SSL) in rivers is an important issue in water
resources management and planning. This study proposes a hybrid double feedforward …
resources management and planning. This study proposes a hybrid double feedforward …