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1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data

Neurocomputing (Amsterdam), 2018-01, Vol.275, p.1308-1317

2018

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1-Norm extreme learning machine for regression and multiclass classification using Newton method

Neurocomputing (Amsterdam), 2014-03, Vol.128, p.4-14

2014

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2-D defect profile reconstruction from ultrasonic guided wave signals based on QGA-kernelized ELM

Neurocomputing (Amsterdam), 2014-03, Vol.128, p.217-223

2014

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4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs

Neurocomputing (Amsterdam), 2024-02, Vol.568, p.127058, Article 127058

2024

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Absolutely exponential stability of Cohen–Grossberg neural networks with unbounded delays

Neurocomputing (Amsterdam), 2005-10, Vol.68, p.1-12

2005

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Accelerating the standard backpropagation method using a genetic approach

Neurocomputing (Amsterdam), 1994, Vol.6 (5), p.583-588

Kinnebrock, Werner

1994

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Accelerating training of radial basis function networks with Cascade-Correlation algorithm

Neurocomputing (Amsterdam), 1995-10, Vol.9 (2), p.207-213

1995

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Accommodation to outliers in identification of non linear SISO systems with neural networks

Neurocomputing (Amsterdam), 1997-01, Vol.14 (1), p.85-99

1997

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Acoustic template-matching for automatic emergency state detection: An ELM based algorithm

Neurocomputing (Amsterdam), 2015-02, Vol.149, p.426-434

2015

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Activation functions in deep learning: A comprehensive survey and benchmark

Neurocomputing (Amsterdam), 2022-09, Vol.503, p.92-108

2022

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Active deep learning method for semi-supervised sentiment classification

Neurocomputing (Amsterdam), 2013-11, Vol.120, p.536-546

2013

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Activity-dependent neuron model for noise resistance

Neurocomputing (Amsterdam), 2019-09, Vol.357, p.240-247

2019

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Adaptive backstepping Elman-based neural control for unknown nonlinear systems

Neurocomputing (Amsterdam), 2014-07, Vol.136, p.170-179

Hsu, Chun-Fei

2014

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Adaptive basis function for artificial neural networks

Neurocomputing (Amsterdam), 2002-08, Vol.47 (1), p.21-34

2002

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Adaptive bias RBF neural network control for a robotic manipulator

Neurocomputing (Amsterdam), 2021-08, Vol.447, p.213-223

2021

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Adaptive chaotification of robot manipulators via neural networks with experimental evaluations

Neurocomputing (Amsterdam), 2016-03, Vol.182, p.56-65

2016

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Adaptive control for output projective synchronization of fractional-order hybrid coupled neural networks with mismatched dimensions

Neurocomputing (Amsterdam), 2023-11, Vol.558, p.126738, Article 126738

2023

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Adaptive control of rapidly time-varying discrete-time system using initial-training-free online extreme learning machine

Neurocomputing (Amsterdam), 2016-06, Vol.194, p.117-125

2016

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Adaptive control system for continuous steel casting based on neural networks and fuzzy logic

Neurocomputing (Amsterdam), 2014-02, Vol.125, p.236-245

2014

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Adaptive controller design-based neural networks for output constraint continuous stirred tank reactor

Neurocomputing (Amsterdam), 2015-04, Vol.153, p.159-163

2015

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Adaptive critic design-based robust neural network control for nonlinear distributed parameter systems with unknown dynamics

Neurocomputing (Amsterdam), 2015-01, Vol.148, p.200-208

2015

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Adaptive critics based cooperative control scheme for islanded Microgrids

Neurocomputing (Amsterdam), 2018-01, Vol.272, p.532-541

2018

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Adaptive dynamic programming-based optimal control of unknown nonaffine nonlinear discrete-time systems with proof of convergence

Neurocomputing (Amsterdam), 2012-08, Vol.91, p.48-55

2012

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Adaptive exponential synchronization in mean square for Markovian jumping neutral-type coupled neural networks with time-varying delays by pinning control

Neurocomputing (Amsterdam), 2016-01, Vol.173, p.809-818

2016

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An adaptive filtering approach for electrocardiogram (ECG) signal noise reduction using neural networks

Neurocomputing (Amsterdam), 2013-10, Vol.117, p.206-213

2013

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1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data

1-Norm extreme learning machine for regression and multiclass classification using Newton method

2-D defect profile reconstruction from ultrasonic guided wave signals based on QGA-kernelized ELM

4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs

Absolutely exponential stability of Cohen–Grossberg neural networks with unbounded delays

Accelerating the standard backpropagation method using a genetic approach

Accelerating training of radial basis function networks with Cascade-Correlation algorithm

Accommodation to outliers in identification of non linear SISO systems with neural networks

Acoustic template-matching for automatic emergency state detection: An ELM based algorithm

Activation functions in deep learning: A comprehensive survey and benchmark

Active deep learning method for semi-supervised sentiment classification

Activity-dependent neuron model for noise resistance

Adaptive backstepping Elman-based neural control for unknown nonlinear systems

Adaptive basis function for artificial neural networks

Adaptive bias RBF neural network control for a robotic manipulator

Adaptive chaotification of robot manipulators via neural networks with experimental evaluations

Adaptive control for output projective synchronization of fractional-order hybrid coupled neural networks with mismatched dimensions

Adaptive control of rapidly time-varying discrete-time system using initial-training-free online extreme learning machine

Adaptive control system for continuous steel casting based on neural networks and fuzzy logic

Adaptive controller design-based neural networks for output constraint continuous stirred tank reactor

Adaptive critic design-based robust neural network control for nonlinear distributed parameter systems with unknown dynamics

Adaptive critics based cooperative control scheme for islanded Microgrids

Adaptive dynamic programming-based optimal control of unknown nonaffine nonlinear discrete-time systems with proof of convergence

Adaptive exponential synchronization in mean square for Markovian jumping neutral-type coupled neural networks with time-varying delays by pinning control

An adaptive filtering approach for electrocardiogram (ECG) signal noise reduction using neural networks

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