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

Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance

(2021) Jie Zeng et al.   ENGINEERING WITH COMPUTERS

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

A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine

(2020) Danial Jahed Armaghani et al.   ENGINEERING WITH COMPUTERS

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

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

Modelling the energy performance of residential buildings using advanced computational frameworks based on RVM, GMDH, ANFIS-BBO and ANFIS-IPSO

(2020) Navid Kardani et al.   Journal of Building Engineering

Wavelet-based time series model to improve the forecast accuracy of PM10 concentrations in Peninsular Malaysia

(2019) Ng Kar Yong et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

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

(2019) Senlin Zhu et al.   Environmental Earth Sciences

Hybrid artificial intelligence-time series models for monthly streamflow modeling

(2019) Saeid Mehdizadeh et al.   APPLIED SOFT COMPUTING

Predicting stable alluvial channel profiles using emotional artificial neural networks

(2019) Azadeh Gholami et al.   APPLIED SOFT COMPUTING

Detection of preterm birth in electrohysterogram signals based on wavelet transform and stacked sparse autoencoder

(2019) Lili Chen et al.   PLoS One

Wavelet Transform Based Method for River Stream Flow Time Series Frequency Analysis and Assessment in Tropical Environment

(2019) Kai Lun Chong et al.   WATER RESOURCES MANAGEMENT

Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review

(2019) Manel Rhif et al.   Applied Sciences-Basel

Coupling the maximum overlap discrete wavelet transform and long short-term memory networks for irrigation flow forecasting

(2019) Soukayna Mouatadid et al.   AGRICULTURAL WATER MANAGEMENT

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

Forecasting river water temperature time series using a wavelet–neural network hybrid modelling approach

(2019) Renata Graf et al.   JOURNAL OF HYDROLOGY

Equilibrium optimizer: A novel optimization algorithm

(2019) Afshin Faramarzi et al.   KNOWLEDGE-BASED SYSTEMS

A comparative study of models for short-term streamflow forecasting with emphasis on wavelet-based approach

(2019) Yuqing Sun et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Gradient boosting machine for modeling the energy consumption of commercial buildings

(2018) Samir Touzani et al.   ENERGY AND BUILDINGS

Design and implementation of a hybrid model based on two-layer decomposition method coupled with extreme learning machines to support real-time environmental monitoring of water quality parameters

(2018) Elham Fijani et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Designation and trend analysis of the updated UK Benchmark Network of river flow stations: the UKBN2 dataset

(2017) Shaun Harrigan et al.   HYDROLOGY RESEARCH

New formulation for forecasting streamflow: evolutionary polynomial regression vs. extreme learning machine

(2017) Mohammad Rezaie-Balf et al.   HYDROLOGY RESEARCH

Single-hidden layer neural networks for forecasting intermittent demand

(2017) F. Lolli et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

Multi-scale streamflow variability responses to precipitation over the headwater catchments in southern China

(2017) Jun Niu et al.   JOURNAL OF HYDROLOGY

An Emotional ANN (EANN) approach to modeling rainfall-runoff process

(2017) Vahid Nourani   JOURNAL OF HYDROLOGY

Improving Optimization Efficiency for Reservoir Operation Using a Search Space Reduction Method

(2017) Bo Ming et al.   WATER RESOURCES MANAGEMENT

Designation and trend analysis of the updated UK Benchmark Network of river flow stations: the UKBN2 dataset

(2017) Shaun Harrigan et al.   Hydrology Research

New formulation for forecasting streamflow: evolutionary polynomial regression vs. extreme learning machine

(2017) Mohammad Rezaie-Balf et al.   Hydrology Research

ASOC: A Novel Agent-Based Simulation-Optimization Coupling Approach-Algorithm and Application in Offshore Oil Spill Responses

(2016) P. Li et al.   Journal of Environmental Informatics

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

(2016) Hongbo Zhang et al.   JOURNAL OF HYDROLOGY

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

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

A Flood Forecasting Model that Considers the Impact of Hydraulic Projects by the Simulations of the Aggregate reservoir’s Retaining and Discharging

(2016) Yong Peng et al.   WATER RESOURCES MANAGEMENT

Neural network river forecasting with multi-objective fully informed particle swarm optimization

(2015) Riccardo Taormina et al.   JOURNAL OF HYDROINFORMATICS

Prediction of daily rainfall by a hybrid wavelet-season-neuro technique

(2015) Abdusselam Altunkaynak et al.   JOURNAL OF HYDROLOGY

Trends in extreme learning machines: A review

(2015) Gao Huang et al.   NEURAL NETWORKS

Evolutionary Algorithm Optimization of a Multireservoir System with Long Lag Times

(2014) James H. Stagge et al.   JOURNAL OF HYDROLOGIC ENGINEERING

A review of unsupervised feature learning and deep learning for time-series modeling

(2014) Martin Längkvist et al.   PATTERN RECOGNITION LETTERS

River Discharges Forecasting In Northern Iraq Using Different ANN Techniques

(2014) Taymoor A. Awchi   WATER RESOURCES MANAGEMENT

An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

(2014) Guang-Bin Huang   Cognitive Computation

Lumped surface and sub-surface runoff for erosion modeling within a small hilly watershed in northern Vietnam

(2013) Yen Tan Bui et al.   HYDROLOGICAL PROCESSES

A decade of Predictions in Ungauged Basins (PUB)—a review

(2013) M. Hrachowitz et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Modeling rainfall–runoff relationship using multivariate GARCH model

(2013) R. Modarres et al.   JOURNAL OF HYDROLOGY

Comparative study of different wavelets for hydrologic forecasting

(2012) R. Maheswaran et al.   COMPUTERS & GEOSCIENCES

Self-Adaptive Evolutionary Extreme Learning Machine

(2012) Jiuwen Cao et al.   NEURAL PROCESSING LETTERS

Precipitation forecasting by using wavelet-support vector machine conjunction model

(2011) Ozgur Kisi et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Rainfall–runoff modeling using artificial neural network coupled with singular spectrum analysis

(2011) C.L. Wu et al.   JOURNAL OF HYDROLOGY

Extreme learning machines: a survey

(2011) Guang-Bin Huang et al.   International Journal of Machine Learning and Cybernetics

Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]

(2010) I Arel et al.   IEEE Computational Intelligence Magazine

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

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