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

A survey on federated learning

(2021) Chen Zhang et al.   KNOWLEDGE-BASED SYSTEMS

Automata Based Hybrid PSO–GWO Algorithm for Secured Energy Efficient Optimal Routing in Wireless Sensor Network

(2021) S. Prithi et al.   WIRELESS PERSONAL COMMUNICATIONS

Optimisation of Solar/Wind/Bio-generator/Diesel/Battery Based Microgrids for Rural Areas: A PSO-GWO Approach

(2021) Gourav Kumar Suman et al.   Sustainable Cities and Society

Hunger Games Search: Visions, Conception, Implementation, Deep Analysis, Perspectives, and Towards Performance Shifts

(2021) Yutao Yang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Support vector regression integrated with novel meta-heuristic algorithms for meteorological drought prediction

(2021) Anurag Malik et al.   METEOROLOGY AND ATMOSPHERIC PHYSICS

The adoption of ELM to the prediction of soil liquefaction based on CPT

(2021) Yong-gang Zhang et al.   Natural Hazards

A Comparative Assessment of Metaheuristic Optimized Extreme Learning Machine and Deep Neural Network in Multi-Step-Ahead Long-term Rainfall Prediction for All-Indian Regions

(2021) Radhikesh Kumar et al.   WATER RESOURCES MANAGEMENT

Towards global flood mapping onboard low cost satellites with machine learning

(2021) Gonzalo Mateo-Garcia et al.   Scientific Reports

COD Optimization Prediction Model Based on CAWOA-ELM in Water Ecological Environment

(2021) Lili Jiang et al.   Journal of Chemistry

Concrete corrosion in wastewater systems: Prediction and sensitivity analysis using advanced extreme learning machine

(2021) Mohammad Zounemat-Kermani et al.   Frontiers of Structural and Civil Engineering

Estimation of solar radiation using modern methods

(2021) Ömer Ali Karaman et al.   Alexandria Engineering Journal

A hybrid binary grey wolf optimizer for selection and reduction of reference points with extreme learning machine approach on local GNSS/leveling geoid determination

(2021) Kemal Tütüncü et al.   APPLIED SOFT COMPUTING

A multi-objective feature selection method using Newton’s law based PSO with GWO

(2021) Pradip Dhal et al.   APPLIED SOFT COMPUTING

Extreme learning machine for reference crop evapotranspiration estimation: Model optimization and spatiotemporal assessment across different climates in China

(2021) Daozhi Gong et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Prediction of Train Arrival Delay Using Hybrid ELM-PSO Approach

(2021) Xu Bao et al.   JOURNAL OF ADVANCED TRANSPORTATION

Data-Driven Approach for Rainfall-Runoff Modelling Using Equilibrium Optimizer Coupled Extreme Learning Machine and Deep Neural Network

(2021) Bishwajit Roy et al.   Applied Sciences-Basel

Enhanced Harris hawks optimization with multi-strategy for global optimization tasks

(2021) ChenYang Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

On the prediction of filtration volume of drilling fluids containing different types of nanoparticles by ELM and PSO-LSSVM based models

(2021) Aleksander Lekomtsev et al.   Petroleum

Hourly River Flow Forecasting: Application of Emotional Neural Network Versus Multiple Machine Learning Paradigms

(2020) Zaher Mundher Yaseen et al.   WATER RESOURCES MANAGEMENT

Short-Term Wind Power Prediction Based on Improved Grey Wolf Optimization Algorithm for Extreme Learning Machine

(2020) Jiale Ding et al.   Processes

Modeling suspended sediment load in a river using extreme learning machine and twin support vector regression with wavelet conjunction

(2020) Barenya Bikash Hazarika et al.   Environmental Earth Sciences

Artificial intelligence models versus empirical equations for modeling monthly reference evapotranspiration

(2020) Yazid Tikhamarine et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Advanced machine learning model for better prediction accuracy of soil temperature at different depths

(2020) Meysam Alizamir et al.   PLoS One

A Novel Intelligent ELM-BBO Technique for Predicting Distance of Mine Blasting-Induced Flyrock

(2020) Bhatawdekar Ramesh Murlidhar et al.   Natural Resources Research

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

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

A survey on river water quality modelling using artificial intelligence models: 2000–2020

(2020) Tiyasha et al.   JOURNAL OF HYDROLOGY

Monthly Streamflow Forecasting Using ELM-IPSO Based on Phase Space Reconstruction

(2020) Yan Jiang et al.   WATER RESOURCES MANAGEMENT

Application of GWO-ELM Model to Prediction of Caojiatuo Landslide Displacement in the Three Gorge Reservoir Area

(2020) Liguo Zhang et al.   Water

A novel hybrid GWO-PSO optimization technique for optimal reactive power dispatch problem solution

(2020) Mohamed A.M. Shaheen et al.   Ain Shams Engineering Journal

A hybrid Grey Wolf Optimization and Particle Swarm Optimization with C4.5 approach for prediction of Rheumatoid Arthritis

(2020) Shanmugam Sundaramurthy et al.   APPLIED SOFT COMPUTING

Development of a linear based stochastic model for daily soil temperature prediction: One step forward to sustainable agriculture

(2020) Mohammad Zeynoddin et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Slime mould algorithm: A new method for stochastic optimization

(2020) Shimin Li et al.   Future Generation Computer Systems-The International Journal of eScience

Amended GWO approach based multi-machine power system stability enhancement

(2020) Ramesh Devarapalli et al.   ISA TRANSACTIONS

Prediction model oriented for landslide displacement with step-like curve by applying ensemble empirical mode decomposition and the PSO-ELM method

(2020) Han Du et al.   JOURNAL OF CLEANER PRODUCTION

Neurocomputing in surface water hydrology and hydraulics: A review of two decades retrospective, current status and future prospects

(2020) Mohammad Zounemat-Kermani et al.   JOURNAL OF HYDROLOGY

Swarm-based optimization as stochastic training strategy for estimation of reference evapotranspiration using extreme learning machine

(2020) Min Yan Chia et al.   AGRICULTURAL WATER MANAGEMENT

Mode decomposition method integrating mode reconstruction, feature extraction, and ELM for tourist arrival forecasting

(2020) Tang Lingyu et al.   CHAOS SOLITONS & FRACTALS

Enhanced Long Short-Term Memory Model for Runoff Prediction

(2020) Rui Feng et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Double adaptive weights for stabilization of moth flame optimizer: Balance analysis, engineering cases, and medical diagnosis

(2020) Weifeng Shan et al.   KNOWLEDGE-BASED SYSTEMS

A DWT-SVD based adaptive color multi-watermarking scheme for copyright protection using AMEF and PSO-GWO

(2020) Yuxin Shen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Prediction of Hydropower Generation Using Grey Wolf Optimization Adaptive Neuro-Fuzzy Inference System

(2019) Majid Dehghani et al.   Energies

Extreme learning machine-based prediction of daily water temperature for rivers

(2019) Senlin Zhu et al.   Environmental Earth Sciences

New Approach for Sediment Yield Forecasting with a Two-Phase Feedforward Neuron Network-Particle Swarm Optimization Model Integrated with the Gravitational Search Algorithm

(2019) Sarita Gajbhiye Meshram et al.   WATER RESOURCES MANAGEMENT

A novel GA-ELM model for patient-specific mortality prediction over large-scale lab event data

(2019) Gokul S. Krishnan et al.   APPLIED SOFT COMPUTING

Weekly soil moisture forecasting with multivariate sequential, ensemble empirical mode decomposition and Boruta-random forest hybridizer algorithm approach

(2019) Ramendra Prasad et al.   CATENA

Prediction of dissolved oxygen in urban rivers at the Three Gorges Reservoir, China: extreme learning machines (ELM) versus artificial neural network (ANN)

(2019) Senlin Zhu et al.   WATER QUALITY RESEARCH JOURNAL OF CANADA

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

A new intelligent method for monthly streamflow prediction: hybrid wavelet support vector regression based on grey wolf optimizer (WSVR–GWO)

(2019) Yazid Tikhamarine et al.   Arabian Journal of Geosciences

A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping

(2019) Dieu Tien Bui et al.   CATENA

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

Novel forecasting models for immediate-short-term to long-term influent flow prediction by combining ANFIS and grey wolf optimization

(2019) Majid Dehghani et al.   JOURNAL OF HYDROLOGY

Soil moisture simulation using hybrid artificial intelligent model: Hybridization of adaptive neuro fuzzy inference system with grey wolf optimizer algorithm

(2019) Saman Maroufpoor et al.   JOURNAL OF HYDROLOGY

A Novel Air Quality Early-Warning System Based on Artificial Intelligence

(2019) Mo et al.   International Journal of Environmental Research and Public Health

Particle Swarm Optimization Algorithm-Extreme Learning Machine (PSO-ELM) Model for Predicting Resilient Modulus of Stabilized Aggregate Bases

(2019) Mosbeh R. Kaloop et al.   Applied Sciences-Basel

A Two-Layer Nonlinear Combination Method for Short-Term Wind Speed Prediction Based on ELM, ENN, and LSTM

(2019) Min-Rong Chen et al.   IEEE Internet of Things Journal

Hybrid extreme learning machine with meta-heuristic algorithms for monthly pan evaporation prediction

(2019) Lifeng Wu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Estimation of monthly reference evapotranspiration using novel hybrid machine learning approaches

(2019) Yazid Tikhamarine et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

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

A clustering-based ensemble approach with improved pigeon-inspired optimization and extreme learning machine for air quality prediction

(2019) Feng Jiang et al.   APPLIED SOFT COMPUTING

Estimation of daily dew point temperature by using bat algorithm optimization based extreme learning machine

(2019) Jianhua Dong et al.   APPLIED THERMAL ENGINEERING

Improving artificial intelligence models accuracy for monthly streamflow forecasting using grey Wolf optimization (GWO) algorithm

(2019) Yazid Tikhamarine et al.   JOURNAL OF HYDROLOGY

A hybrid air quality early-warning framework: An hourly forecasting model with online sequential extreme learning machines and empirical mode decomposition algorithms

(2019) Ekta Sharma et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Recent studies on optimisation method of Grey Wolf Optimiser (GWO): a review (2014–2017)

(2018) N. M. Hatta et al.   ARTIFICIAL INTELLIGENCE REVIEW

Input selection and data-driven model performance optimization to predict the Standardized Precipitation and Evaporation Index in a drought-prone region

(2018) Soukayna Mouatadid et al.   ATMOSPHERIC RESEARCH

Rainfall prediction for the Kerala state of India using artificial intelligence approaches

(2018) Yajnaseni Dash et al.   COMPUTERS & ELECTRICAL ENGINEERING

Smart wind speed forecasting using EWT decomposition, GWO evolutionary optimization, RELM learning and IEWT reconstruction

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Soil moisture forecasting by a hybrid machine learning technique: ELM integrated with ensemble empirical mode decomposition

(2018) Ramendra Prasad et al.   GEODERMA

Forecasting Daily Runoff by Extreme Learning Machine Based on Quantum-Behaved Particle Swarm Optimization

(2018) Wen-jing Niu et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Comparing Machine-Learning Models for Drought Forecasting in Vietnam’s Cai River Basin

(2018) Zhen Liu et al.   POLISH JOURNAL OF ENVIRONMENTAL STUDIES

Modelling reference evapotranspiration using a new wavelet conjunction heuristic method: Wavelet extreme learning machine vs wavelet neural networks

(2018) Ozgur Kisi et al.   AGRICULTURAL AND FOREST METEOROLOGY

Optimal design of a grid-connected desalination plant powered by renewable energy resources using a hybrid PSO–GWO approach

(2018) Alaaeldin M. Abdelshafy et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term wind speed prediction based on improved PSO algorithm optimized EM-ELM

(2018) Zhongda Tian et al.   Energy Sources Part A-Recovery Utilization and Environmental Effects

Chaos enhanced grey wolf optimization wrapped ELM for diagnosis of paraquat-poisoned patients

(2018) Xuehua Zhao et al.   COMPUTATIONAL BIOLOGY AND CHEMISTRY

A novel hybrid PSO–GWO algorithm for optimization problems

(2018) Fatih Ahmet Şenel et al.   ENGINEERING WITH COMPUTERS

Application of Particle Swarm Optimization and Extreme Learning Machine Forecasting Models for Regional Groundwater Depth Using Nonlinear Prediction Models as Preprocessor

(2018) Dong Liu et al.   JOURNAL OF HYDROLOGIC ENGINEERING

River flow prediction using hybrid PSOGSA algorithm based on feed-forward neural network

(2018) Sarita Gajbhiye Meshram et al.   SOFT COMPUTING

Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation

(2018) Caihong Hu et al.   Water

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

(2018) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Comprehensive Learning Particle Swarm Optimization Algorithm With Local Search for Multimodal Functions

(2018) Yulian Cao et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Energy saving and prediction modeling of petrochemical industries: A novel ELM based on FAHP

(2017) ZhiQiang Geng et al.   ENERGY

Grey wolf optimization evolving kernel extreme learning machine: Application to bankruptcy prediction

(2017) Mingjing Wang et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle

(2017) Ravinesh C. Deo et al.   ENVIRONMENTAL RESEARCH

A comparison of the performance of some extreme learning machine empirical models for predicting daily horizontal diffuse solar radiation in a region of southern Iran

(2017) Seyed Hossein Hosseini Nazhad et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Streamflow forecasting by combining neural networks and fuzzy models using advanced methods of input variable selection

(2017) A. B. Dariane et al.   JOURNAL OF HYDROINFORMATICS

A switching delayed PSO optimized extreme learning machine for short-term load forecasting

(2017) Nianyin Zeng et al.   NEUROCOMPUTING

A novel hybrid model for air quality index forecasting based on two-phase decomposition technique and modified extreme learning machine

(2017) Deyun Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Multi-step water quality forecasting using a boosting ensemble multi-wavelet extreme learning machine model

(2017) Rahim Barzegar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Hybrid Algorithm of Particle Swarm Optimization and Grey Wolf Optimizer for Improving Convergence Performance

(2017) Narinder Singh et al.   Journal of Applied Mathematics

Future Projection with an Extreme-Learning Machine and Support Vector Regression of Reference Evapotranspiration in a Mountainous Inland Watershed in North-West China

(2017) Zhenliang Yin et al.   Water

An extreme learning machine approach for modeling evapotranspiration using extrinsic inputs

(2016) Amit Prakash Patil et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Extreme learning machine assessment for estimating sediment transport in open channels

(2016) Isa Ebtehaj et al.   ENGINEERING WITH COMPUTERS

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

(2016) Ravinesh C Deo et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

CEREF: A hybrid data-driven model for forecasting annual streamflow from a socio-hydrological system

(2016) Hongbo Zhang et al.   JOURNAL OF HYDROLOGY

Estimating Evapotranspiration Using an Extreme Learning Machine Model: Case Study in North Bihar, India

(2016) Deepak Kumar et al.   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

Binary grey wolf optimization approaches for feature selection

(2016) E. Emary et al.   NEUROCOMPUTING

Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model

(2016) Ravinesh C. Deo et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Using extreme learning machines for short-term urban water demand forecasting

(2016) Soukayna Mouatadid et al.   Urban Water Journal

Prediction of Water-Level in the Urmia Lake Using the Extreme Learning Machine Approach

(2016) Jalal Shiri et al.   WATER RESOURCES MANAGEMENT

Enhancing Long-Term Streamflow Forecasting and Predicting using Periodicity Data Component: Application of Artificial Intelligence

(2016) Zaher Mundher Yaseen et al.   WATER RESOURCES MANAGEMENT

Estimating Evapotranspiration Using an Extreme Learning Machine Model: Case Study in North Bihar, India

(2016) Deepak Kumar et al.   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia

(2015) Ravinesh C. Deo et al.   ATMOSPHERIC RESEARCH

Extreme learning machine based prediction of daily dew point temperature

(2015) Kasra Mohammadi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An efficient machine learning approach for diagnosis of paraquat-poisoned patients

(2015) Lufeng Hu et al.   COMPUTERS IN BIOLOGY AND MEDICINE

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

Prediction of hydrological time-series using extreme learning machine

(2015) Md Atiquzzaman et al.   JOURNAL OF HYDROINFORMATICS

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

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

Modeling of groundwater level fluctuations using dendrochronology in alluvial aquifers

(2015) V. Gholami et al.   JOURNAL OF HYDROLOGY

Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines

(2015) Riccardo Taormina et al.   JOURNAL OF HYDROLOGY

A novel hybrid PSO–GWO approach for unit commitment problem

(2015) Vikram Kumar Kamboj   NEURAL COMPUTING & APPLICATIONS

A comparative evaluation for identifying the suitability of extreme learning machine to predict horizontal global solar radiation

(2015) Shahaboddin Shamshirband et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Grey Wolf Optimizer for parameter estimation in surface waves

(2015) Xianhai Song et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models

(2015) Ravinesh C. Deo et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Heuristic Methods for Reservoir Monthly Inflow Forecasting: A Case Study of Xinfengjiang Reservoir in Pearl River, China

(2015) Chun-Tian Cheng et al.   Water

Grey Wolf Optimizer

(2014) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

UNORGANIZED MACHINES FOR SEASONAL STREAMFLOW SERIES FORECASTING

(2014) HUGO SIQUEIRA et al.   International Journal of Neural Systems

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

Imbalanced Learning for Air Pollution by Meta-Cognitive Online Sequential Extreme Learning Machine

(2014) Chi-Man Vong et al.   Cognitive Computation

Development of an artificial neural network based multi-model ensemble to estimate the northeast monsoon rainfall over south peninsular India: an application of extreme learning machine

(2013) Nachiketa Acharya et al.   CLIMATE DYNAMICS

Differential Evolution Extreme Learning Machine for the Classification of Hyperspectral Images

(2013) Yakoub Bazi et al.   IEEE Geoscience and Remote Sensing Letters

Application of extreme learning machine for estimating solar radiation from satellite data

(2013) Mehmet Şahin et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

A fast approach for detection of erythemato-squamous diseases based on extreme learning machine with maximum relevance minimum redundancy feature selection

(2013) Tong Liu et al.   INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE

GA-Based Support Vector Machine Model for the Prediction of Monthly Reservoir Storage

(2013) Jieqiong Su et al.   JOURNAL OF HYDROLOGIC ENGINEERING

A hybrid SVM-PSO model for forecasting monthly streamflow

(2013) Ch. Sudheer et al.   NEURAL COMPUTING & APPLICATIONS

Predicting minority class for suspended particulate matters level by extreme learning machine

(2013) Chi-Man Vong et al.   NEUROCOMPUTING

Application of artificial neural networks to rainfall forecasting in Queensland, Australia

(2012) John Abbot et al.   ADVANCES IN ATMOSPHERIC SCIENCES

Applying fuzzy grey modification model on inflow forecasting

(2012) Yong-Huang Lin et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

A Computer Aided Diagnosis System for Thyroid Disease Using Extreme Learning Machine

(2012) Li-Na Li et al.   JOURNAL OF MEDICAL SYSTEMS

Burning state recognition of rotary kiln using ELMs with heterogeneous features

(2012) Weitao Li et al.   NEUROCOMPUTING

A novel application of a neuro-fuzzy computational technique in event-based rainfall–runoff modeling

(2010) Amin Talei et al.   EXPERT SYSTEMS WITH APPLICATIONS

Potential of support vector regression for prediction of monthly streamflow using endogenous property

(2009) Rajib Maity et al.   HYDROLOGICAL PROCESSES

GSA: A Gravitational Search Algorithm

(2009) Esmat Rashedi et al.   INFORMATION SCIENCES

A Multivariate ANN-Wavelet Approach for Rainfall–Runoff Modeling

(2009) Vahid Nourani et al.   WATER RESOURCES MANAGEMENT