Can sampling techniques improve the performance of decomposition-based hydrological prediction models? Exploration of some comparative experiments
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Can sampling techniques improve the performance of decomposition-based hydrological prediction models? Exploration of some comparative experiments
Authors
Keywords
-
Journal
Applied Water Science
Volume 12, Issue 8, Pages -
Publisher
Springer Science and Business Media LLC
Online
2022-06-14
DOI
10.1007/s13201-022-01696-2
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Research on particle swarm optimization in LSTM neural networks for rainfall-runoff simulation
- (2022) Yuanhao Xu et al. JOURNAL OF HYDROLOGY
- The performance of classification and forecasting Dong Nai River water quality for sustainable water resources management using neural network techniques
- (2021) Nguyen Hien Than et al. JOURNAL OF HYDROLOGY
- Improving streamflow prediction in the WRF-Hydro model with LSTM networks
- (2021) Kyeungwoo Cho et al. JOURNAL OF HYDROLOGY
- Multi-station runoff-sediment modeling using seasonal LSTM models
- (2021) Vahid Nourani et al. JOURNAL OF HYDROLOGY
- Modeling streamflow driven by climate change in data-scarce mountainous basins
- (2021) Mengtian Fan et al. SCIENCE OF THE TOTAL ENVIRONMENT
- A Novel Hybrid Decompose-Ensemble Strategy with a VMD-BPNN Approach for Daily Streamflow Estimating
- (2021) Hui Hu et al. WATER RESOURCES MANAGEMENT
- Decomposition ensemble model based on variational mode decomposition and long short-term memory for streamflow forecasting
- (2020) Ganggang Zuo et al. JOURNAL OF HYDROLOGY
- Annual Streamflow Time Series Prediction Using Extreme Learning Machine Based on Gravitational Search Algorithm and Variational Mode Decomposition
- (2020) Wen-jing Niu et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Streamflow forecasting using extreme gradient boosting model coupled with Gaussian mixture model
- (2020) Lingling Ni et al. JOURNAL OF HYDROLOGY
- Sediment transport modelling in an alluvial river with artificial neural network
- (2020) Shehnaz Ara Rahman et al. JOURNAL OF HYDROLOGY
- Using ensembles of adaptive neuro-fuzzy inference system and optimization algorithms to predict reference evapotranspiration in subtropical climatic zones
- (2020) Dilip Kumar Roy et al. JOURNAL OF HYDROLOGY
- Regional hydrological frequency analysis at ungauged sites with random forest regression
- (2020) Shitanshu Desai et al. JOURNAL OF HYDROLOGY
- Predicting flood susceptibility using LSTM neural networks
- (2020) Zhice Fang et al. JOURNAL OF HYDROLOGY
- Multi-step-ahead forecast of reservoir water availability with improved quantum-based GWO coupled with the AI-based LSSVM model
- (2020) Yuxue Guo et al. JOURNAL OF HYDROLOGY
- Enhancing streamflow forecasting using the augmenting ensemble procedure coupled machine learning models: case study of Aswan High Dam
- (2019) Mohammad Rezaie-Balf et al. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
- Comparison of support vector regression and extreme gradient boosting for decomposition-based data-driven 10-day streamflow forecasting
- (2019) Xiang Yu et al. JOURNAL OF HYDROLOGY
- An adaptive middle and long-term runoff forecast model using EEMD-ANN hybrid approach
- (2018) Qiao-Feng Tan et al. JOURNAL OF HYDROLOGY
- Addressing the incorrect usage of wavelet-based hydrological and water resources forecasting models for real-world applications with best practices and a new forecasting framework
- (2018) John Quilty et al. JOURNAL OF HYDROLOGY
- Exploring the spatio-temporal interrelation between groundwater and surface water by using the self-organizing maps
- (2018) I-Ting Chen et al. JOURNAL OF HYDROLOGY
- Wetland changes of China's largest freshwater lake and their linkage with the Three Gorges Dam
- (2018) Xingxing Han et al. REMOTE SENSING OF ENVIRONMENT
- Hybrid Models Combining EMD/EEMD and ARIMA for Long-Term Streamflow Forecasting
- (2018) Zhi-Yu Wang et al. Water
- Machine Learning Models Coupled with Variational Mode Decomposition: A New Approach for Modeling Daily Rainfall-Runoff
- (2018) Youngmin Seo et al. Atmosphere
- Determination of Trends and Dominant Modes in 7-Day Annual Minimum Flows: Additive Wavelet Transform–Based Approach
- (2018) Fatih Tosunoğlu et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Early fault feature extraction of bearings based on Teager energy operator and optimal VMD
- (2018) Bo Xu et al. ISA TRANSACTIONS
- A robust method for non-stationary streamflow prediction based on improved EMD-SVM model
- (2018) Erhao Meng et al. JOURNAL OF HYDROLOGY
- Examining the applicability of different sampling techniques in the development of decomposition-based streamflow forecasting models
- (2018) Wei Fang et al. JOURNAL OF HYDROLOGY
- Input Selection of Wavelet-Coupled Neural Network Models for Rainfall-Runoff Modelling
- (2018) Muhammad Shoaib et al. WATER RESOURCES MANAGEMENT
- Kumaraswamy autoregressive moving average models for double bounded environmental data
- (2017) Fábio Mariano Bayer et al. JOURNAL OF HYDROLOGY
- The incorrect usage of singular spectral analysis and discrete wavelet transform in hybrid models to predict hydrological time series
- (2017) Kongchang Du et al. JOURNAL OF HYDROLOGY
- A comparison between wavelet based static and dynamic neural network approaches for runoff prediction
- (2016) Muhammad Shoaib et al. JOURNAL OF HYDROLOGY
- Regional Flood Frequency Analysis using Support Vector Regression under historical and future climate
- (2016) Mesgana Seyoum Gizaw et al. JOURNAL OF HYDROLOGY
- Are hybrid models integrated with data preprocessing techniques suitable for monthly streamflow forecasting? Some experiment evidences
- (2015) Xiaoli Zhang et al. JOURNAL OF HYDROLOGY
- Evaluation of GA-SVR method for modeling bed load transport in gravel-bed rivers
- (2015) Kiyoumars Roushangar et al. JOURNAL OF HYDROLOGY
- Daily water level forecasting using wavelet decomposition and artificial intelligence techniques
- (2015) Youngmin Seo et al. JOURNAL OF HYDROLOGY
- Artificial intelligence based models for stream-flow forecasting: 2000–2015
- (2015) Zaher Mundher Yaseen et al. JOURNAL OF HYDROLOGY
- Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree
- (2015) Ozgur Kisi JOURNAL OF HYDROLOGY
- Variational Mode Decomposition
- (2014) Konstantin Dragomiretskiy et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- An investigation of enhanced recessions in Poyang Lake: Comparison of Yangtze River and local catchment impacts
- (2014) Qi Zhang et al. JOURNAL OF HYDROLOGY
- Comparative study of different wavelet based neural network models for rainfall–runoff modeling
- (2014) Muhammad Shoaib et al. JOURNAL OF HYDROLOGY
- Evaluating a coupled discrete wavelet transform and support vector regression for daily and monthly streamflow forecasting
- (2014) Zhiyong Liu et al. JOURNAL OF HYDROLOGY
- Monthly streamflow prediction using modified EMD-based support vector machine
- (2014) Shengzhi Huang et al. JOURNAL OF HYDROLOGY
- Predictability of nonstationary time series using wavelet and EMD based ARMA models
- (2013) L. Karthikeyan et al. JOURNAL OF HYDROLOGY
- A geomorphology-based ANFIS model for multi-station modeling of rainfall–runoff process
- (2013) Vahid Nourani et al. JOURNAL OF HYDROLOGY
- Using discrete wavelet transforms to analyze trends in streamflow and precipitation in Quebec and Ontario (1954–2008)
- (2012) D. Nalley et al. JOURNAL OF HYDROLOGY
- Comparison of the ARMA, ARIMA, and the autoregressive artificial neural network models in forecasting the monthly inflow of Dez dam reservoir
- (2012) Mohammad Valipour et al. JOURNAL OF HYDROLOGY
- Assessing neural networks with wavelet denoising and regression models in predicting diel dynamics of eddy covariance-measured latent and sensible heat fluxes and evapotranspiration
- (2012) Fatih Evrendilek NEURAL COMPUTING & APPLICATIONS
- Impact of EMD decomposition and random initialisation of weights in ANN hindcasting of daily stream flow series: An empirical examination
- (2011) Giulia Napolitano et al. JOURNAL OF HYDROLOGY
- Application of artificial neural network ensembles in probabilistic hydrological forecasting
- (2011) Shahab Araghinejad et al. JOURNAL OF HYDROLOGY
- Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds
- (2010) Jan Adamowski et al. JOURNAL OF HYDROLOGY
- Development of an accurate and reliable hourly flood forecasting model using wavelet–bootstrap–ANN (WBANN) hybrid approach
- (2010) Mukesh K. Tiwari et al. JOURNAL OF HYDROLOGY
- Short-term and long-term streamflow forecasting using a wavelet and neuro-fuzzy conjunction model
- (2010) Jalal Shiri et al. JOURNAL OF HYDROLOGY
- A Multivariate ANN-Wavelet Approach for Rainfall–Runoff Modeling
- (2009) Vahid Nourani et al. WATER RESOURCES MANAGEMENT
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search