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Stochastic Configuration Networks: Fundamentals and Algorithms

IEEE transactions on cybernetics, 2017-10, Vol.47 (10), p.3466-3479

2017

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Randomness in neural networks: an overview

Wiley interdisciplinary reviews. Data mining and knowledge discovery, 2017-03, Vol.7 (2), p.np-n/a

2017

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2-D Stochastic Configuration Networks for Image Data Analytics

IEEE transactions on cybernetics, 2021-01, Vol.51 (1), p.359-372

2021

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Evolutionary extreme learning machine ensembles with size control

Neurocomputing (Amsterdam), 2013-02, Vol.102, p.98-110

2013

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Assessing Short-Term Voltage Stability of Electric Power Systems by a Hierarchical Intelligent System

IEEE transaction on neural networks and learning systems, 2016-08, Vol.27 (8), p.1686-1696

2016

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Interface-coupling of CoFe-LDH on MXene as high-performance oxygen evolution catalyst

Materials today energy, 2019-06, Vol.12, p.453-462

2019

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A Further Study on Mining DNA Motifs Using Fuzzy Self-Organizing Maps

IEEE transaction on neural networks and learning systems, 2016-01, Vol.27 (1), p.113-124

2016

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An Alternating Identification Algorithm for a Class of Nonlinear Dynamical Systems

IEEE transaction on neural networks and learning systems, 2017-07, Vol.28 (7), p.1606-1617

2017

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A robust adaptive neural networks controller for maritime dynamic positioning system

Neurocomputing (Amsterdam), 2013-06, Vol.110, p.128-136

2013

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A Robust Elicitation Algorithm for Discovering DNA Motifs Using Fuzzy Self-Organizing Maps

IEEE transaction on neural networks and learning systems, 2013-10, Vol.24 (10), p.1677-1688

2013

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Electronic, Optical, Mechanical, and Electronic Transport Properties of SrCu2O2: A First-Principles Study

Materials, 2023-02, Vol.16 (5), p.1829

2023

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Stacking ensemble learning assisted design of Al-Nb-Ti-V-Zr lightweight high-entropy alloys with high hardness

Materials & design, 2024-10, Vol.246, p.113363, Article 113363

2024

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Editorial: Randomized algorithms for training neural networks

Information sciences, 2016-10, Vol.364-365, p.126-128

Wang, Dianhui

2016

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Insights into randomized algorithms for neural networks: Practical issues and common pitfalls

Information sciences, 2017-03, Vol.382-383, p.170-178

2017

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Significantly enhanced photocatalytic activity of visible light responsive AgBr/Bi 2 Sn 2 O 7 heterostructured composites

Applied surface science, 2017-12, Vol.426, p.1173-1181

2017

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Robust stochastic configuration networks with kernel density estimation for uncertain data regression

Information sciences, 2017-10, Vol.412-413, p.210-222

2017

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Berberine increases adipose triglyceride lipase in 3T3-L1 adipocytes through the AMPK pathway

Lipids in health and disease, 2016-12, Vol.15 (1), p.214-214, Article 214

2016

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Stochastic configuration networks ensemble with heterogeneous features for large-scale data analytics

Information sciences, 2017-11, Vol.417, p.55-71

2017

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Extraction and Adaptation of Fuzzy Rules for Friction Modeling and Control Compensation

IEEE transactions on fuzzy systems, 2011-08, Vol.19 (4), p.682-693

2011

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Theoretical Study on the Electrochemical Water Splitting of Two-Dimensional Metal–Organic Frameworks TM3C12O12 (TM = Mn, Fe, Co, Ni)

Crystals (Basel), 2022-09, Vol.12 (9), p.1289

2022

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Flame Image-Based Burning State Recognition for Sintering Process of Rotary Kiln Using Heterogeneous Features and Fuzzy Integral

IEEE transactions on industrial informatics, 2012-11, Vol.8 (4), p.780-790

2012

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Data-Driven PID Controller and Its Application to Pulp Neutralization Process

IEEE transactions on control systems technology, 2018-05, Vol.26 (3), p.828-841

2018

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Fast decorrelated neural network ensembles with random weights

Information sciences, 2014-04, Vol.264, p.104-117

2014

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Computational Analysis on Antioxidant Activity of Four Characteristic Structural Units from Persimmon Tannin

Materials, 2022-12, Vol.16 (1), p.320

2022

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Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams

Information sciences, 2019-08, Vol.495, p.150-174

2019

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Stochastic Configuration Networks: Fundamentals and Algorithms

Randomness in neural networks: an overview

2-D Stochastic Configuration Networks for Image Data Analytics

Evolutionary extreme learning machine ensembles with size control

Assessing Short-Term Voltage Stability of Electric Power Systems by a Hierarchical Intelligent System

Interface-coupling of CoFe-LDH on MXene as high-performance oxygen evolution catalyst

A Further Study on Mining DNA Motifs Using Fuzzy Self-Organizing Maps

An Alternating Identification Algorithm for a Class of Nonlinear Dynamical Systems

A robust adaptive neural networks controller for maritime dynamic positioning system

A Robust Elicitation Algorithm for Discovering DNA Motifs Using Fuzzy Self-Organizing Maps

Electronic, Optical, Mechanical, and Electronic Transport Properties of SrCu2O2: A First-Principles Study

Stacking ensemble learning assisted design of Al-Nb-Ti-V-Zr lightweight high-entropy alloys with high hardness

Editorial: Randomized algorithms for training neural networks

Insights into randomized algorithms for neural networks: Practical issues and common pitfalls

Significantly enhanced photocatalytic activity of visible light responsive AgBr/Bi 2 Sn 2 O 7 heterostructured composites

Robust stochastic configuration networks with kernel density estimation for uncertain data regression

Berberine increases adipose triglyceride lipase in 3T3-L1 adipocytes through the AMPK pathway

Stochastic configuration networks ensemble with heterogeneous features for large-scale data analytics

Extraction and Adaptation of Fuzzy Rules for Friction Modeling and Control Compensation

Theoretical Study on the Electrochemical Water Splitting of Two-Dimensional Metal–Organic Frameworks TM3C12O12 (TM = Mn, Fe, Co, Ni)

Flame Image-Based Burning State Recognition for Sintering Process of Rotary Kiln Using Heterogeneous Features and Fuzzy Integral

Data-Driven PID Controller and Its Application to Pulp Neutralization Process

Fast decorrelated neural network ensembles with random weights

Computational Analysis on Antioxidant Activity of Four Characteristic Structural Units from Persimmon Tannin

Deep stacked stochastic configuration networks for lifelong learning of non-stationary data streams

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