An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research …
Despite the massive diversity in the modeling requirements for practical hydrological
applications, there remains a need to develop more reliable and intelligent expert systems …
applications, there remains a need to develop more reliable and intelligent expert systems …
River/stream water temperature forecasting using artificial intelligence models: a systematic review
S Zhu, AP Piotrowski - Acta Geophysica, 2020 - Springer
Water temperature is one of the most important indicators of aquatic system, and accurate
forecasting of water temperature is crucial for rivers. It is a complex process to accurately …
forecasting of water temperature is crucial for rivers. It is a complex process to accurately …
Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as …
Monthly streamflow prediction is very important for many hydrological applications in
providing information for optimal use of water resources. In this study, the prediction …
providing information for optimal use of water resources. In this study, the prediction …
Receiving more accurate predictions for longitudinal dispersion coefficients in water pipelines: training group method of data handling using extreme learning …
F Saberi-Movahed, M Najafzadeh… - Water Resources …, 2020 - Springer
Longitudinal dispersion coefficient (LDC) is known as the most remarkable environmental
variables which plays a key role in evaluation of pollution profiles in water pipelines. Even …
variables which plays a key role in evaluation of pollution profiles in water pipelines. Even …
Daily streamflow prediction using optimally pruned extreme learning machine
RM Adnan, Z Liang, S Trajkovic… - Journal of …, 2019 - Elsevier
Daily streamflow prediction is important for flood warning, navigation, sediment control,
reservoir operations and environmental protection. The current paper examines the …
reservoir operations and environmental protection. The current paper examines the …
Application of novel binary optimized machine learning models for monthly streamflow prediction
Accurate measurements of available water resources play a key role in achieving a
sustainable environment of a society. Precise river flow estimation is an essential task for …
sustainable environment of a society. Precise river flow estimation is an essential task for …
Modelling reference evapotranspiration using a new wavelet conjunction heuristic method: wavelet extreme learning machine vs wavelet neural networks
O Kisi, M Alizamir - Agricultural and forest meteorology, 2018 - Elsevier
Evapotranspiration is an important parameter in linking ecosystem functioning, climate and
carbon feedbacks, agricultural management, and water resources. This study investigates …
carbon feedbacks, agricultural management, and water resources. This study investigates …
On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction
Accurate pan evaporation (E pan) prediction is a critical issue in water resources
management, particularly when designing and managing rural water resource systems, and …
management, particularly when designing and managing rural water resource systems, and …
Comparison of different methodologies for rainfall–runoff modeling: machine learning vs conceptual approach
Accurate short-term rainfall–runoff prediction is essential for flood mitigation and safety of
hydraulic structures and infrastructures. This study investigates the capability of four …
hydraulic structures and infrastructures. This study investigates the capability of four …
Wavelet coupled MARS and M5 Model Tree approaches for groundwater level forecasting
In this study, two different machine learning models, Multivariate Adaptive Regression
Splines (MARS) and M5 Model Trees (MT) have been applied to simulate the groundwater …
Splines (MARS) and M5 Model Trees (MT) have been applied to simulate the groundwater …