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 …

Comparison of daily streamflow forecasts using extreme learning machines and the random forest method

X Li, J Sha, ZL Wang - Hydrological Sciences Journal, 2019 - Taylor & Francis
Daily streamflow forecasting is a challenging and essential task for water resource
management. The main goal of this study was to compare the accuracy of five data-driven …

New formulation for forecasting streamflow: evolutionary polynomial regression vs. extreme learning machine

M Rezaie-Balf, O Kisi - Hydrology Research, 2018 - iwaponline.com
Streamflow forecasting is crucial in hydrology and hydraulic engineering since it is capable
of optimizing water resource systems or planning future expansion. This study investigated …

Forecasting daily streamflow using online sequential extreme learning machines

AR Lima, AJ Cannon, WW Hsieh - Journal of hydrology, 2016 - Elsevier
While nonlinear machine methods have been widely used in environmental forecasting, in
situations where new data arrive continually, the need to make frequent model updates can …

Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq

ZM Yaseen, O Jaafar, RC Deo, O Kisi, J Adamowski… - Journal of …, 2016 - Elsevier
Monthly stream-flow forecasting can yield important information for hydrological applications
including sustainable design of rural and urban water management systems, optimization of …

Employing machine learning algorithms for streamflow prediction: a case study of four river basins with different climatic zones in the United States

P Parisouj, H Mohebzadeh, T Lee - Water Resources Management, 2020 - Springer
Streamflow estimation plays a significant role in water resources management, especially for
flood mitigation, drought warning, and reservoir operation. Hence, the current study …

Parallel cooperation search algorithm and artificial intelligence method for streamflow time series forecasting

Z Feng, P Shi, T Yang, W Niu, J Zhou, C Cheng - Journal of Hydrology, 2022 - Elsevier
Reliable streamflow prediction is an important productive information in the hydrology and
water resources management fields. As used to forecast the nonlinear streamflow time …

Application of novel binary optimized machine learning models for monthly streamflow prediction

RM Adnan, HL Dai, RR Mostafa, ARMT Islam… - Applied Water …, 2023 - Springer
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 …

An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland

RC Deo, M Şahin - Environmental monitoring and assessment, 2016 - Springer
A predictive model for streamflow has practical implications for understanding the drought
hydrology, environmental monitoring and agriculture, ecosystems and resource …

Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case study

RMA Ikram, BB Hazarika, D Gupta, S Heddam… - Neural Computing and …, 2023 - Springer
Accurate streamflow estimation is crucial for proper water management for irrigation,
hydropower, drinking and industrial purposes. The main aim of this study to adopt new data …