Long-Term Streamflow Prediction Using Hybrid SVR-ANN Based on Bayesian Model Averaging-Reference-Cited by-同舟云学术

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Long-Term Streamflow Prediction Using Hybrid SVR-ANN Based on Bayesian Model Averaging

Published:2022-11 Issue:11 Volume:27 Page:
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Abbasi Mahdi¹,Dehban Hossein¹,Farokhnia Ashkan²,Roozbahani Reza³,Bahreinimotlagh Masoud⁴^ORCID

Affiliation:

1. Research Fellow, Dept. of Water Resources Studies and Research, Water Research Institute, Tehran, Iran.

2. Assistant Professor, Dept. of Water Resources Studies and Research, Water Research Institute, Tehran, Iran.

3. Associate Professor, Dept. of Water Resources Studies and Research, Water Research Institute, Tehran, Iran.

4. Assistant Professor, Dept. of Water Resources Studies and Research, Water Research Institute, Tehran, Iran (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

https://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0002218

Reference56 articles.

1. A hybrid of Random Forest and Deep Auto-Encoder with support vector regression methods for accuracy improvement and uncertainty reduction of long-term streamflow prediction

2. Comparative Study of Time Series Models, Support Vector Machines, and GMDH in Forecasting Long-Term Evapotranspiration Rates in Northern Iran

3. Reconciling modern machine-learning practice and the classical bias–variance trade-off

4. Reliable long-range ensemble streamflow forecasts: Combining calibrated climate forecasts with a conceptual runoff model and a staged error model

5. Hybrid of binary gravitational search algorithm and mutual information for feature selection in intrusion detection systems

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1. A Probabilistic Runoff Prediction Model Based on Improved Long Short-Term Memory and Interval Correction;Journal of Hydrologic Engineering;2024-08

2. Integrated metaheuristic algorithms with extreme learning machine models for river streamflow prediction;Scientific Reports;2024-06-12

3. Investigating the potential of EMA-embedded feature selection method for ESVR and LSTM to enhance the robustness of monthly streamflow forecasting from local meteorological information;Journal of Hydrology;2024-06

4. Hybrid Approach for Streamflow Prediction: LASSO-Hampel Filter Integration with Support Vector Machines, Artificial Neural Networks, and Autoregressive Distributed Lag Models;Water Resources Management;2024-04-18

5. Assessment of machine learning models for short-term streamflow estimation: the case of Dez River in Iran;Sustainable Water Resources Management;2024-01-21

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