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

Journal of hydrology (Amsterdam), 2015-08, Vol.527, p.184-195

2015

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On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation

IEEE transaction on neural networks and learning systems, 2015-07, Vol.26 (7), p.1417-1430

2015

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Nontechnical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines

IEEE transactions on power delivery, 2010-04, Vol.25 (2), p.1162-1171

2010

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Advances of metaheuristic algorithms in training neural networks for industrial applications

Soft computing (Berlin, Germany), 2021-08, Vol.25 (16), p.11209-11233

2021

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Improving SVM-Based Nontechnical Loss Detection in Power Utility Using the Fuzzy Inference System

IEEE transactions on power delivery, 2011-04, Vol.26 (2), p.1284-1285

2011

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A Constrained Optimization based Extreme Learning Machine for noisy data regression

Neurocomputing (Amsterdam), 2016-01, Vol.171, p.1431-1443

2016

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Neural Information Processing: 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III

1, 2014

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Neural Information Processing: 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I

2014 edition., 2014

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Neural Information Processing: 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II

2014 edition., 2014

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A New Probabilistic Output Constrained Optimization Extreme Learning Machine

IEEE access, 2020, Vol.8, p.28934-28946

2020

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Realization of a Hybrid Locally Connected Extreme Learning Machine With DeepID for Face Verification

IEEE access, 2019, Vol.7, p.70447-70460

2019

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Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy

Neurocomputing (Amsterdam), 2012-04, Vol.81, p.108-112

2012

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Application of Fuzzy Inference Rules to Early Semi-automatic Estimation of Activity Duration in Software Project Management

IEEE transactions on human-machine systems, 2014-10, Vol.44 (5), p.678-688

2014

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Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System

IEEE access, 2020, Vol.8, p.163026-163043

2020

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Hybrid Data Regression Model Based on the Generalized Adaptive Resonance Theory Neural Network

IEEE access, 2019, Vol.7, p.116438-116452

2019

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Compressing and improving fuzzy rules using genetic algorithm and its application to fault detection

2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA), 2013, p.1-4

2013

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Robust Lane Detection Based On Convolutional Neural Network and Random Sample Consensus

Neural Information Processing, p.454-461

Volltextzugriff (PDF)

A computational intelligence scheme for the prediction of the daily peak load

Applied soft computing, 2011-12, Vol.11 (8), p.4773-4788

2011

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Radical-Enhanced Chinese Character Embedding

Neural Information Processing, p.279-286

Volltextzugriff (PDF)

Fault Diagnosis in Wind Energy Management System using Extreme Learning Machine: A Systematic Review

Journal of physics. Conference series, 2022-08, Vol.2319 (1), p.12014

2022

Volltextzugriff (PDF)

Gas Turbine Model Parameter Classification During Abnormal Operation Using Support Vector Machine For Maintenance

Journal of physics. Conference series, 2022-08, Vol.2319 (1), p.12004

2022

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Application of genetic algorithm for fuzzy rules optimization on semi expert judgment automation using Pittsburg approach

Applied soft computing, 2012-08, Vol.12 (8), p.2168-2177

2012

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A Neural Networks Committee for the Contextual Bandit Problem

Neural Information Processing, p.374-381

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A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification

Neural processing letters, 2015-12, Vol.42 (3), p.585-602

2015

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Deep Learning of Multifractal Attributes from Motor Imagery Induced EEG

Neural Information Processing, p.503-510

Volltextzugriff (PDF)

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

On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation

Nontechnical Loss Detection for Metered Customers in Power Utility Using Support Vector Machines

Advances of metaheuristic algorithms in training neural networks for industrial applications

Improving SVM-Based Nontechnical Loss Detection in Power Utility Using the Fuzzy Inference System

A Constrained Optimization based Extreme Learning Machine for noisy data regression

Neural Information Processing: 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III

Neural Information Processing: 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I

Neural Information Processing: 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II

A New Probabilistic Output Constrained Optimization Extreme Learning Machine

Realization of a Hybrid Locally Connected Extreme Learning Machine With DeepID for Face Verification

Daily maximum load forecasting of consecutive national holidays using OSELM-based multi-agents system with weighted average strategy

Application of Fuzzy Inference Rules to Early Semi-automatic Estimation of Activity Duration in Software Project Management

Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System

Hybrid Data Regression Model Based on the Generalized Adaptive Resonance Theory Neural Network

Compressing and improving fuzzy rules using genetic algorithm and its application to fault detection

Robust Lane Detection Based On Convolutional Neural Network and Random Sample Consensus

A computational intelligence scheme for the prediction of the daily peak load

Radical-Enhanced Chinese Character Embedding

Fault Diagnosis in Wind Energy Management System using Extreme Learning Machine: A Systematic Review

Gas Turbine Model Parameter Classification During Abnormal Operation Using Support Vector Machine For Maintenance

Application of genetic algorithm for fuzzy rules optimization on semi expert judgment automation using Pittsburg approach

A Neural Networks Committee for the Contextual Bandit Problem

A Truly Online Learning Algorithm using Hybrid Fuzzy ARTMAP and Online Extreme Learning Machine for Pattern Classification

Deep Learning of Multifractal Attributes from Motor Imagery Induced EEG

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