An enhanced monthly runoff time series prediction using extreme learning machine optimized by salp swarm algorithm based on time varying filtering based empirical mode decomposition

Construction and application of a refined model for the optimal allocation of water resources — Taking Guantao County, China as an example

(2023) Yanbin Li et al.   ECOLOGICAL INDICATORS

A Decomposition-based Multi-model and Multi-parameter Ensemble Forecast Framework for Monthly Streamflow Forecasting

(2023) Jia Wang et al.   JOURNAL OF HYDROLOGY

Development of a TVF-EMD-based multi-decomposition technique integrated with Encoder-Decoder-Bidirectional-LSTM for monthly rainfall forecasting

(2023) Mehdi Jamei et al.   JOURNAL OF HYDROLOGY

Improving the precision of monthly runoff prediction using the combined non-stationary methods in an oasis irrigation area

(2023) Chaofei He et al.   AGRICULTURAL WATER MANAGEMENT

Medium-long-term prediction of water level based on an improved spatio-temporal attention mechanism for long short-term memory networks

(2023) Yingfei Wang et al.   JOURNAL OF HYDROLOGY

Prediction of the optical properties in photonic crystal fiber using support vector machine based on radial basis functions

(2023) Hongwei Li et al.   OPTIK

An extreme learning machine optimized by differential evolution and artificial bee colony for predicting the concentration of whole blood with Fourier Transform Raman spectroscopy

(2023) Qiaoyun Wang et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Hydrological drought forecasting and monitoring system development using artificial neural network (ANN) in Ethiopia

(2023) Kassa Abera Tareke et al.   Heliyon

Improved runoff forecasting performance through error predictions using a deep-learning approach

(2022) Heechan Han et al.   JOURNAL OF HYDROLOGY

Research on particle swarm optimization in LSTM neural networks for rainfall-runoff simulation

(2022) Yuanhao Xu et al.   JOURNAL OF HYDROLOGY

Monthly Runoff Forecasting Using Variational Mode Decomposition Coupled with Gray Wolf Optimizer-Based Long Short-term Memory Neural Networks

(2022) Bao-Jian Li et al.   WATER RESOURCES MANAGEMENT

The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction

(2022) Rana Muhammad Adnan et al.   APPLIED SOFT COMPUTING

Hydrological time series forecasting via signal decomposition and twin support vector machine using cooperation search algorithm for parameter identification

(2022) Zhong-kai Feng et al.   JOURNAL OF HYDROLOGY

Resilience benefit assessment for multi-scale urban flood control programs

(2022) Yawen Wu et al.   JOURNAL OF HYDROLOGY

A new seq2seq architecture for hourly runoff prediction using historical rainfall and runoff as input

(2022) Shuai Gao et al.   JOURNAL OF HYDROLOGY

An MILP based optimization model for reservoir flood control operation considering spillway gate scheduling

(2022) Chengguo Su et al.   JOURNAL OF HYDROLOGY

Exploring a multi-objective cluster-decomposition framework for optimizing flood control operation rules of cascade reservoirs in a river basin

(2022) Di Zhu et al.   JOURNAL OF HYDROLOGY

Waste-to-energy as a tool of circular economy: Prediction of higher heating value of biomass by artificial neural network (ANN) and multivariate linear regression (MLR)

(2022) Fatima Ezzahra Yatim et al.   WASTE MANAGEMENT

Monthly runoff prediction at Baitarani river basin by support vector machine based on Salp swarm algorithm

(2022) Sandeep Samantaray et al.   Ain Shams Engineering Journal

Predicting clay compressibility using a novel Manta ray foraging optimization-based extreme learning machine model

(2022) Panagiotis G. Asteris et al.   Transportation Geotechnics

CeVO4/rGO nanocomposite: facile hydrothermal synthesis, characterization, and electrochemical hydrogen storage

(2022) Mahsa Rezayeenik et al.   APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING

Evaluation of the effectiveness and effects of long-term ecological restoration on watershed water quality dynamics in two eutrophic river catchments in Lake Chaohu Basin, China

(2022) Tingting Duan et al.   ECOLOGICAL INDICATORS

Mid-term electricity demand forecasting using improved variational mode decomposition and extreme learning machine optimized by sparrow search algorithm

(2022) Tian Gao et al.   ENERGY

Short-term Wind Power Forecasting Using the Hybrid Model of Improved Variational Mode Decomposition and Maximum Mixture Correntropy Long Short-term Memory Neural Network

(2022) Wenchao Lu et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A new hybrid method based on sparrow search algorithm optimized extreme learning machine for brittleness evaluation

(2022) Fengjiao Zhang et al.   JOURNAL OF APPLIED GEOPHYSICS

Enhancing robustness of monthly streamflow forecasting model using embedded-feature selection algorithm based on improved gray wolf optimizer

(2022) Qingjie Wang et al.   JOURNAL OF HYDROLOGY

Runoff prediction of urban stream based on the discharge of pump stations using improved multi-layer perceptron applying new optimizers combined with a harmony search

(2022) Eui Hoon Lee   JOURNAL OF HYDROLOGY

An attention mechanism-based deep regression approach with a sequence decomposition-granularity reconstruction-integration model for urban daily water supply forecasting

(2022) Yun Bai et al.   JOURNAL OF HYDROLOGY

Ecohydrological decoupling of water storage and vegetation attributed to China’s large-scale ecological restoration programs

(2022) Yanping Cao et al.   JOURNAL OF HYDROLOGY

Integrating water deficit quantification, rainwater regulation, and precision irrigation for drought resistance

(2022) Baoqing Zhang et al.   Science Bulletin

Responses of hydroelectricity generation to streamflow drought under climate change

(2022) Xiaohu Zhao et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Evolutionary artificial intelligence model via cooperation search algorithm and extreme learning machine for multiple scales nonstationary hydrological time series prediction

(2021) Zhong-kai Feng et al.   JOURNAL OF HYDROLOGY

Short-Term Load Probabilistic Forecasting Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise Reconstruction and Salp Swarm Algorithm

(2021) Tianyu Hu et al.   Energies

Optimization of extreme learning machine model with biological heuristic algorithms to estimate daily reference crop evapotranspiration in different climatic regions of China

(2021) Zongjun Wu et al.   JOURNAL OF HYDROLOGY

Combining time varying filtering based empirical mode decomposition and machine learning to predict precipitation from nonlinear series

(2021) Chao Song et al.   JOURNAL OF HYDROLOGY

Enhancing robustness of monthly streamflow forecasting model using gated recurrent unit based on improved grey wolf optimizer

(2021) Xuehua Zhao et al.   JOURNAL OF HYDROLOGY

Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization

(2021) Rana Muhammad Adnan et al.   KNOWLEDGE-BASED SYSTEMS

An Ensemble Hybrid Forecasting Model for Annual Runoff Based on Sample Entropy, Secondary Decomposition, and Long Short-Term Memory Neural Network

(2021) Wen-chuan Wang et al.   WATER RESOURCES MANAGEMENT

Hydrological time series prediction by extreme learning machine and sparrow search algorithm

(2021) Bao-fei Feng et al.   Water Science and Technology-Water Supply

Optimal operation of multi-reservoir systems for increasing power generation using a seagull optimization algorithm and heading policy

(2021) Mohammad Ehteram et al.   Energy Reports

Prediction of hourly solar radiation in Tamil Nadu using ANN model with different learning algorithms

(2021) A. Geetha et al.   Energy Reports

Nd2Sn2O7 nanostructures: Green synthesis and characterization using date palm extract, a potential electrochemical hydrogen storage material

(2020) Sahar Zinatloo-Ajabshir et al.   CERAMICS INTERNATIONAL

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

Monthly runoff time series prediction by variational mode decomposition and support vector machine based on quantum-behaved particle swarm optimization

(2020) Zhong-kai Feng et al.   JOURNAL OF HYDROLOGY

Prediction and analysis of non-stationary runoff extreme sequence based on ESMD combination prediction model

(2020) Yi-zhen Li et al.   Water Science and Technology-Water Supply

Estimation of total dissolved solids (TDS) using new hybrid machine learning models

(2020) Fatemeh Barzegari Banadkooki et al.   JOURNAL OF HYDROLOGY

A Novel Combined Model for Short-Term Electric Load Forecasting Based on Whale Optimization Algorithm

(2020) Zhihao Shang et al.   NEURAL PROCESSING LETTERS

A Compound Approach for Monthly Runoff Forecasting Based on Multiscale Analysis and Deep Network with Sequential Structure

(2020) Shi Chen et al.   Water

Ensemble approach for mid-long term runoff forecasting using hybrid algorithms

(2020) Zhaoxin Yue et al.   Journal of Ambient Intelligence and Humanized Computing

Short-term streamflow time series prediction model by machine learning tool based on a data preprocessing technique and swarm intelligence algorithm

(2020) Wen-jing Niu et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Spatial runoff updating based on the hydrologic system differential response for flood forecasting

(2020) Xiaoqin Zhang et al.   JOURNAL OF HYDROINFORMATICS

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

Employing Machine Learning Algorithms for Streamflow Prediction: A Case Study of Four River Basins with Different Climatic Zones in the United States

(2020) Peiman Parisouj et al.   WATER RESOURCES MANAGEMENT

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

A novel hybrid model based on particle swarm optimisation and extreme learning machine for short-term temperature prediction using ambient sensors

(2019) Sachin Kumar et al.   Sustainable Cities and Society

Eco-friendly synthesis of Nd2Sn2O7–based nanostructure materials using grape juice as green fuel as photocatalyst for the degradation of erythrosine

(2019) Sahar Zinatloo-Ajabshir et al.   COMPOSITES PART B-ENGINEERING

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

Forecasting reservoir monthly runoff via ensemble empirical mode decomposition and extreme learning machine optimized by an improved gravitational search algorithm

(2019) Wen-jing Niu et al.   APPLIED SOFT COMPUTING

Nonlinear response of runoff to atmospheric freezing level height variation based on hybrid prediction models

(2019) Yanhua Qin et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Operation rule derivation of hydropower reservoir by k-means clustering method and extreme learning machine based on particle swarm optimization

(2019) Zhong-kai Feng et al.   JOURNAL OF HYDROLOGY

Simplex quantum-behaved particle swarm optimization algorithm with application to ecological operation of cascade hydropower reservoirs

(2019) Yan Xia et al.   APPLIED SOFT COMPUTING

Green synthesis of dysprosium stannate nanoparticles using Ficus carica extract as photocatalyst for the degradation of organic pollutants under visible irradiation

(2019) Sahar Zinatloo-Ajabshir et al.   CERAMICS INTERNATIONAL

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 streamflow prediction using optimally pruned extreme learning machine

(2019) Rana Muhammad Adnan 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

Markov chain-incorporated and synthetic data-supported conditional artificial neural network models for forecasting monthly precipitation in arid regions

(2018) Hafzullah Aksoy et al.   JOURNAL OF HYDROLOGY

Facile fabrication of Dy 2 Sn 2 O 7 -SnO 2 nanocomposites as an effective photocatalyst for degradation and removal of organic contaminants

(2017) Sahar Zinatloo-Ajabshir et al.   JOURNAL OF COLLOID AND INTERFACE SCIENCE

Prediction of laser cutting heat affected zone by extreme learning machine

(2017) Obrad Anicic et al.   OPTICS AND LASERS IN ENGINEERING

A time varying filter approach for empirical mode decomposition

(2017) Heng Li et al.   SIGNAL PROCESSING

Utilization of the Bayesian Method to Improve Hydrological Drought Prediction Accuracy

(2017) Deg-Hyo Bae et al.   WATER RESOURCES MANAGEMENT

An EMD-Based Chaotic Least Squares Support Vector Machine Hybrid Model for Annual Runoff Forecasting

(2017) Xuehua Zhao et al.   Water

A Multi-Dimensional Equilibrium Allocation Model of Water Resources Based on a Groundwater Multiple Loop Iteration Technique

(2017) Ting Wang et al.   Water

Improving forecasting accuracy of medium and long-term runoff using artificial neural network based on EEMD decomposition

(2015) Wen-chuan Wang et al.   ENVIRONMENTAL RESEARCH

Extreme Learning Machines: A new approach for prediction of reference evapotranspiration

(2015) Shafika Sultan Abdullah et al.   JOURNAL OF HYDROLOGY

Integrated optimal allocation model for complex adaptive system of water resources management (I): Methodologies

(2015) Yanlai Zhou et al.   JOURNAL OF HYDROLOGY

Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition

(2015) Wen-chuan Wang et al.   WATER RESOURCES MANAGEMENT

Forecast-skill-based simulation of streamflow forecasts

(2014) Tongtiegang Zhao et al.   ADVANCES IN WATER RESOURCES

Monthly streamflow prediction using modified EMD-based support vector machine

(2014) Shengzhi Huang et al.   JOURNAL OF HYDROLOGY

Monthly discharge forecasting using wavelet neural networks with extreme learning machine

(2014) BaoJian Li et al.   Science China-Technological Sciences

Value of Medium-range Precipitation Forecasts in Inflow Prediction and Hydropower Optimization

(2010) Guolei Tang et al.   WATER RESOURCES MANAGEMENT

A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series

(2009) Wen-Chuan Wang et al.   JOURNAL OF HYDROLOGY