Evolutionary artificial intelligence model via cooperation search algorithm and extreme learning machine for multiple scales nonstationary hydrological time series prediction
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Title
Evolutionary artificial intelligence model via cooperation search algorithm and extreme learning machine for multiple scales nonstationary hydrological time series prediction
Authors
Keywords
Hydrological forecasting, Extreme learning machine, Cooperation search algorithm, Artificial intelligence, Machine learning, Evolutionary algorithm
Journal
JOURNAL OF HYDROLOGY
Volume 595, Issue -, Pages 126062
Publisher
Elsevier BV
Online
2021-02-10
DOI
10.1016/j.jhydrol.2021.126062
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Note: Only part of the references are listed.- Multiple Hydropower Reservoirs Operation by Hyperbolic Grey Wolf Optimizer Based on Elitism Selection and Adaptive Mutation
- (2021) Wen-jing Niu et al. WATER RESOURCES MANAGEMENT
- Deep Learning Based Densely Connected Network for Load Forecasting
- (2021) Zhuoling Li et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Event-triggered distributed control for synchronization of multiple memristive neural networks under cyber-physical attacks
- (2020) Shengbo Wang et al. INFORMATION SCIENCES
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- (2020) Jiuhui Li et al. JOURNAL OF HYDROLOGY
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- (2020) Senlin Zhu et al. JOURNAL OF HYDROLOGY
- GA-PIC: An improved Green-Ampt rainfall-runoff model with a physically based infiltration distribution curve for semi-arid basins
- (2020) Wenbo Huo et al. JOURNAL OF HYDROLOGY
- Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation
- (2020) Shuai Gao et al. JOURNAL OF HYDROLOGY
- Improved approach to the problem of the global Mittag-Leffler synchronization for fractional-order multidimension-valued BAM neural networks based on new inequalities
- (2020) Jianying Xiao et al. NEURAL NETWORKS
- Estimating daily reference evapotranspiration based on limited meteorological data using deep learning and classical machine learning methods
- (2020) Zhijun Chen et al. JOURNAL OF HYDROLOGY
- Hybrid artificial neural network and cooperation search algorithm for nonlinear river flow time series forecasting in humid and semi-humid regions
- (2020) Zhong-kai Feng et al. KNOWLEDGE-BASED SYSTEMS
- Periodic Event-Triggered Synchronization of Multiple Memristive Neural Networks With Switching Topologies and Parameter Mismatch
- (2020) Shengbo Wang et al. IEEE Transactions on Cybernetics
- Evaluating the performances of several artificial intelligence methods in forecasting daily streamflow time series for sustainable water resources management
- (2020) Wen-jing Niu et al. Sustainable Cities and Society
- Parallel computing and swarm intelligence based artificial intelligence model for multi-step-ahead hydrological time series prediction
- (2020) Wen-jing Niu et al. Sustainable Cities and Society
- Two-phase extreme learning machines integrated with the complete ensemble empirical mode decomposition with adaptive noise algorithm for multi-scale runoff prediction problems
- (2019) Xiaohu Wen et al. JOURNAL OF HYDROLOGY
- Optimization of fuzzy membership function of runoff forecasting error based on the optimal closeness
- (2019) Zhiqiang Jiang et al. JOURNAL OF HYDROLOGY
- Short-Term Electric Load and Price Forecasting Using Enhanced Extreme Learning Machine Optimization in Smart Grids
- (2019) Aqdas Naz et al. Energies
- Development of data-driven models for prediction of daily global horizontal irradiance in Northwest China
- (2019) Yu Feng et al. JOURNAL OF CLEANER PRODUCTION
- Improving the prediction accuracy of monthly streamflow using a data-driven model based on a double-processing strategy
- (2019) Lili Wang et al. JOURNAL OF HYDROLOGY
- A hybrid approach for measuring the vibrational trend of hydroelectric unit with enhanced multi-scale chaotic series analysis and optimized least squares support vector machine
- (2019) Wenlong Fu et al. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
- Study on Icing Prediction of Power Transmission Lines Based on Ensemble Empirical Mode Decomposition and Feature Selection Optimized Extreme Learning Machine
- (2019) Weijun Wang et al. Energies
- Revealing the water-energy-food nexus in the Upper Yellow River Basin through multi-objective optimization for reservoir system
- (2019) Yuan Si et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Hybrid forecasting model for non-stationary daily runoff series: A case study in the Han River Basin, China
- (2019) Tuo Xie et al. JOURNAL OF HYDROLOGY
- Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China
- (2019) Lifeng Wu et al. JOURNAL OF HYDROLOGY
- Daily streamflow prediction using optimally pruned extreme learning machine
- (2019) Rana Muhammad Adnan et al. JOURNAL OF HYDROLOGY
- Long-term optimal operation of cascade hydropower stations based on the utility function of the carryover potential energy
- (2019) Qiao-Feng Tan et al. JOURNAL OF HYDROLOGY
- Ecological operation of cascade hydropower reservoirs by elite-guide gravitational search algorithm with Lévy flight local search and mutation
- (2019) Zhong-kai Feng et al. JOURNAL OF HYDROLOGY
- Global exponential synchronization of delayed memristive neural networks with reaction–diffusion terms
- (2019) Yanyi Cao et al. NEURAL NETWORKS
- Adaptive water infrastructure planning for nonstationary hydrology
- (2018) Rui Hui et al. ADVANCES IN WATER RESOURCES
- Hydropower plant operation rules optimization response to climate change
- (2018) Jianxia Chang et al. ENERGY
- Error correction-based forecasting of reservoir water levels: Improving accuracy over multiple lead times
- (2018) Xiaojing Zhang et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Eco-compensation standards for sustaining high flow events below hydropower plants
- (2018) Xin-An Yin et al. JOURNAL OF CLEANER PRODUCTION
- Stochastic optimal operation of reservoirs based on copula functions
- (2018) Xiao-hui Lei 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
- Assimilation of near-real time data products into models of an urban basin
- (2018) James M. Leach et al. JOURNAL OF HYDROLOGY
- General memristor with applications in multilayer neural networks
- (2018) Shiping Wen et al. NEURAL NETWORKS
- Future changes in Yuan River ecohydrology: Individual and cumulative impacts of climates change and cascade hydropower development on runoff and aquatic habitat quality
- (2018) Xin Wen et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Statistics for sample splitting for the calibration and validation of hydrological models
- (2018) Dedi Liu et al. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
- Multi-Objective Optimal Dispatch of Microgrid under Uncertainties via Interval Optimization
- (2018) Y.Z. Li et al. IEEE Transactions on Smart Grid
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- (2018) Na Sun et al. ENERGY
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- (2018) Xiaohui Lei et al. JOURNAL OF HYDROLOGY
- Complementary data-intelligence model for river flow simulation
- (2018) Zaher Mundher Yaseen et al. JOURNAL OF HYDROLOGY
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- Forecasting daily streamflow using online sequential extreme learning machines
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- Simulating California reservoir operation using the classification and regression-tree algorithm combined with a shuffled cross-validation scheme
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- Extreme Learning Machines: A new approach for prediction of reference evapotranspiration
- (2015) Shafika Sultan Abdullah et al. JOURNAL OF HYDROLOGY
- Optimal design of seasonal flood limited water levels and its application for the Three Gorges Reservoir
- (2015) Pan Liu et al. JOURNAL OF HYDROLOGY
- Synchronization between integer-order chaotic systems and a class of fractional-order chaotic systems via sliding mode control
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- Short-term optimal operation of Three-gorge and Gezhouba cascade hydropower stations in non-flood season with operation rules from data mining
- (2012) Chao Ma et al. ENERGY CONVERSION AND MANAGEMENT
- Development and Application of a Distributed Hydrological Model: EasyDHM
- (2012) Xiaohui Lei et al. JOURNAL OF HYDROLOGIC ENGINEERING
- Weighted extreme learning machine for imbalance learning
- (2012) Weiwei Zong et al. NEUROCOMPUTING
- Climate change impacts on crop production in Iran's Zayandeh-Rud River Basin
- (2012) Alireza Gohari et al. SCIENCE OF THE TOTAL ENVIRONMENT
- California’s Sacramento–San Joaquin Delta Conflict: From Cooperation to Chicken
- (2011) Kaveh Madani et al. JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT
- Seeker optimization algorithm for tuning the structure and parameters of neural networks
- (2010) Chaohua Dai et al. NEUROCOMPUTING
- Enhanced random search based incremental extreme learning machine
- (2007) Guang-Bin Huang et al. NEUROCOMPUTING
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