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

A Hybrid VMD-SVM Model for Practical Streamflow Prediction Using an Innovative Input Selection Framework

(2021) Erhao Meng et al.   WATER RESOURCES MANAGEMENT

Correction to: Optimal Design and Feature Selection by Genetic Algorithm for Emotional Artificial Neural Network (EANN) in Rainfall-Runoff Modeling

(2021) Amir Molajou et al.   WATER RESOURCES MANAGEMENT

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

A Hybrid Model Based on Variational Mode Decomposition and Gradient Boosting Regression Tree for Monthly Runoff Forecasting

(2020) Xinxin He et al.   WATER RESOURCES MANAGEMENT

Boosted binary Harris hawks optimizer and feature selection

(2020) Yanan Zhang et al.   ENGINEERING WITH COMPUTERS

Simulating monthly streamflow using a hybrid feature selection approach integrated with an intelligence model

(2020) Zahra Alizadeh et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

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

A machine-learning framework for predicting multiple air pollutants' concentrations via multi-target regression and feature selection

(2020) Sahar Masmoudi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Comparison of eight filter-based feature selection methods for monthly streamflow forecasting – Three case studies on CAMELS data sets

(2020) Kun Ren et al.   JOURNAL OF HYDROLOGY

Streamflow forecasting using extreme gradient boosting model coupled with Gaussian mixture model

(2020) Lingling Ni et al.   JOURNAL OF HYDROLOGY

Estimating annual runoff in response to forest change: A statistical method based on random forest

(2020) Ming Li et al.   JOURNAL OF HYDROLOGY

An Innovative Excited-ACS-IDGWO Algorithm for Optimal Biomedical Data Feature Selection

(2020) Davies Segera et al.   Biomed Research International

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

An improved grey wolf optimizer for solving engineering problems

(2020) Mohammad H. Nadimi-Shahraki et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

(2020) Mahdi Abbasi et al.   JOURNAL OF HYDROLOGY

Explore an evolutionary recurrent ANFIS for modelling multi-step-ahead flood forecasts

(2019) Yanlai Zhou et al.   JOURNAL OF HYDROLOGY

Comparison of Multiple Linear Regression, Artificial Neural Network, Extreme Learning Machine, and Support Vector Machine in Deriving Operation Rule of Hydropower Reservoir

(2019) Wen-Jing Niu et al.   Water

Automatic selection of hidden neurons and weights in neural networks using grey wolf optimizer based on a hybrid encoding scheme

(2019) Hossam Faris et al.   International Journal of Machine Learning and Cybernetics

Evolving neural networks using bird swarm algorithm for data classification and regression applications

(2019) Ibrahim Aljarah et al.   Cluster Computing-The Journal of Networks Software Tools and Applications

Mechanisms influencing non-stationarity in rainfall-runoff relationships in southeast Australia

(2019) Proloy Deb et al.   JOURNAL OF HYDROLOGY

Daily river flow forecasting using ensemble empirical mode decomposition based heuristic regression models: Application on the perennial rivers in Iran and South Korea

(2019) Mohammad Rezaie-Balf et al.   JOURNAL OF HYDROLOGY

Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition

(2019) Ümit Çavuş Büyükşahin et al.   NEUROCOMPUTING

Data processing strategies in wind energy forecasting models and applications: A comprehensive review

(2019) Hui Liu et al.   APPLIED ENERGY

An evolutionary gravitational search-based feature selection

(2019) Mohammad Taradeh et al.   INFORMATION SCIENCES

Least square support vector machine and multivariate adaptive regression splines for streamflow prediction in mountainous basin using hydro-meteorological data as inputs

(2019) Rana Muhammad Adnan et al.   JOURNAL OF HYDROLOGY

A comprehensive comparison of four input variable selection methods for artificial neural network flow forecasting models

(2019) E. Snieder et al.   JOURNAL OF HYDROLOGY

Anomaly-based intrusion detection system using multi-objective grey wolf optimisation algorithm

(2019) Taief Alaa Alamiedy et al.   Journal of Ambient Intelligence and Humanized Computing

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

(2019) Yazid Tikhamarine et al.   JOURNAL OF HYDROLOGY

The influence of climatic inputs on stream-flow pattern forecasting: case study of Upper Senegal River

(2018) Lamine Diop et al.   Environmental Earth Sciences

An adaptive middle and long-term runoff forecast model using EEMD-ANN hybrid approach

(2018) Qiao-Feng Tan et al.   JOURNAL OF HYDROLOGY

An efficient binary Salp Swarm Algorithm with crossover scheme for feature selection problems

(2018) Hossam Faris et al.   KNOWLEDGE-BASED SYSTEMS

A Comparative Study of Autoregressive, Autoregressive Moving Average, Gene Expression Programming and Bayesian Networks for Estimating Monthly Streamflow

(2018) Saeid Mehdizadeh et al.   WATER RESOURCES MANAGEMENT

Asynchronous accelerating multi-leader salp chains for feature selection

(2018) Ibrahim Aljarah et al.   APPLIED SOFT COMPUTING

A hybrid support vector regression framework for streamflow forecast

(2018) Xiangang Luo 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

A compound structure of ELM based on feature selection and parameter optimization using hybrid backtracking search algorithm for wind speed forecasting

(2017) Chu Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Forecasting daily streamflow values: assessing heuristic models

(2017) Sepideh Karimi et al.   HYDROLOGY RESEARCH

A joint stochastic-deterministic approach for long-term and short-term modelling of monthly flow rates

(2017) Milan Stojković et al.   JOURNAL OF HYDROLOGY

Subspace clustering guided unsupervised feature selection

(2017) Pengfei Zhu et al.   PATTERN RECOGNITION

Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information

(2017) Tiantian Yang et al.   WATER RESOURCES RESEARCH

Forecasting daily streamflow values: assessing heuristic models

(2017) Sepideh Karimi et al.   Hydrology Research

The Whale Optimization Algorithm

(2016) Seyedali Mirjalili et al.   ADVANCES IN ENGINEERING SOFTWARE

Training feedforward neural networks using multi-verse optimizer for binary classification problems

(2016) Hossam Faris et al.   APPLIED INTELLIGENCE

Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

(2016) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Binary coordinate ascent: An efficient optimization technique for feature subset selection for machine learning

(2016) Amin Zarshenas et al.   KNOWLEDGE-BASED SYSTEMS

Binary grey wolf optimization approaches for feature selection

(2016) E. Emary et al.   NEUROCOMPUTING

Bootstrap rank-ordered conditional mutual information (broCMI): A nonlinear input variable selection method for water resources modeling

(2016) John Quilty et al.   WATER RESOURCES RESEARCH

A robust combination approach for short-term wind speed forecasting and analysis – Combination of the ARIMA (Autoregressive Integrated Moving Average), ELM (Extreme Learning Machine), SVM (Support Vector Machine) and LSSVM (Least Square SVM) forecasts using a GPR (Gaussian Process Regression) model

(2015) Jianzhou Wang et al.   ENERGY

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

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

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

Grey Wolf Optimizer

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

Support vector machine applications in the field of hydrology: A review

(2014) Sujay Raghavendra. N et al.   APPLIED SOFT COMPUTING

Feature selection in wind speed prediction systems based on a hybrid coral reefs optimization – Extreme learning machine approach

(2014) S. Salcedo-Sanz et al.   ENERGY CONVERSION AND MANAGEMENT

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

Operating Rules Derivation of Jinsha Reservoirs System with Parameter Calibrated Support Vector Regression

(2014) Chang-ming Ji et al.   WATER RESOURCES MANAGEMENT

A comparative study of artificial neural network, adaptive neuro fuzzy inference system and support vector machine for forecasting river flow in the semiarid mountain region

(2013) Zhibin He et al.   JOURNAL OF HYDROLOGY

Comparison of two new ARIMA-ANN and ARIMA-Kalman hybrid methods for wind speed prediction

(2012) Hui Liu et al.   APPLIED ENERGY

S-shaped versus V-shaped transfer functions for binary Particle Swarm Optimization

(2012) Seyedali Mirjalili et al.   Swarm and Evolutionary Computation