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Review and performance comparison of SVM- and ELM-based classifiers

Neurocomputing (Amsterdam), 2014-03, Vol.128, p.507-516

2014

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Global stability of complex-valued neural networks with both leakage time delay and discrete time delay on time scales

Neurocomputing (Amsterdam), 2013-12, Vol.121, p.254-264

2013

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Stochastic stability of Markovian jump BAM neural networks with leakage delays and impulse control

Neurocomputing (Amsterdam), 2014-07, Vol.136, p.136-151

2014

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An ELM-based model for affective analogical reasoning

Neurocomputing (Amsterdam), 2015-02, Vol.149, p.443-455

2015

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Evolving spiking neural networks for personalised modelling, classification and prediction of spatio-temporal patterns with a case study on stroke

Neurocomputing (Amsterdam), 2014-06, Vol.134, p.269-279

2014

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Exponential stability of complex-valued neural networks with mixed delays

Neurocomputing (Amsterdam), 2014-03, Vol.128, p.483-490

2014

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A Support Vector Machine-Firefly Algorithm based forecasting model to determine malaria transmission

Neurocomputing (Amsterdam), 2014-04, Vol.129, p.279-288

2014

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From different ZFs to different ZNN models accelerated via Li activation functions to finite-time convergence for time-varying matrix pseudoinversion

Neurocomputing (Amsterdam), 2014-06, Vol.133, p.512-522

2014

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SW-ELM: A summation wavelet extreme learning machine algorithm with a priori parameter initialization

Neurocomputing (Amsterdam), 2014-01, Vol.123, p.299-307

2014

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Synchronized control with neuro-agents for leader–follower based multiple robotic manipulators

Neurocomputing (Amsterdam), 2014-01, Vol.124, p.149-161

2014

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Neural network based hybrid computing model for wind speed prediction

Neurocomputing (Amsterdam), 2013-12, Vol.122, p.425-429

2013

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Genetic ensemble of extreme learning machine

Neurocomputing (Amsterdam), 2014-04, Vol.129, p.175-184

2014

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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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A dynamic neural network approach for solving nonlinear inequalities defined on a graph and its application to distributed, routing-free, range-free localization of WSNs

Neurocomputing (Amsterdam), 2013-10, Vol.117, p.72-80

2013

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Numerical treatment for nonlinear MHD Jeffery–Hamel problem using neural networks optimized with interior point algorithm

Neurocomputing (Amsterdam), 2014-01, Vol.124, p.178-193

2014

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Extreme learning machine towards dynamic model hypothesis in fish ethology research

Neurocomputing (Amsterdam), 2014-03, Vol.128, p.273-284

2014

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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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New approaches on stability criteria for neural networks with two additive time-varying delay components

Neurocomputing (Amsterdam), 2013-10, Vol.118, p.150-156

2013

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Exponential stability of Markovian jumping stochastic Cohen–Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses

Neurocomputing (Amsterdam), 2014-05, Vol.131, p.265-277

2014

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Application of BW-ELM model on traffic sign recognition

Neurocomputing (Amsterdam), 2014-03, Vol.128, p.153-159

2014

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Comparison of a genetic algorithm and simulated annealing for automatic neural network ensemble development

Neurocomputing (Amsterdam), 2013-12, Vol.121, p.498-511

2013

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Exponential synchronization of Markovian jumping neural networks with partly unknown transition probabilities via stochastic sampled-data control

Neurocomputing (Amsterdam), 2014-06, Vol.133, p.385-398

2014

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Ensemble of online neural networks for non-stationary and imbalanced data streams

Neurocomputing (Amsterdam), 2013-12, Vol.122, p.535-544

2013

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Predicting minority class for suspended particulate matters level by extreme learning machine

Neurocomputing (Amsterdam), 2014-03, Vol.128, p.136-144

2014

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Melt index prediction by aggregated RBF neural networks trained with chaotic theory

Neurocomputing (Amsterdam), 2014-05, Vol.131, p.368-376

2014

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Review and performance comparison of SVM- and ELM-based classifiers

Global stability of complex-valued neural networks with both leakage time delay and discrete time delay on time scales

Stochastic stability of Markovian jump BAM neural networks with leakage delays and impulse control

An ELM-based model for affective analogical reasoning

Evolving spiking neural networks for personalised modelling, classification and prediction of spatio-temporal patterns with a case study on stroke

Exponential stability of complex-valued neural networks with mixed delays

A Support Vector Machine-Firefly Algorithm based forecasting model to determine malaria transmission

From different ZFs to different ZNN models accelerated via Li activation functions to finite-time convergence for time-varying matrix pseudoinversion

SW-ELM: A summation wavelet extreme learning machine algorithm with a priori parameter initialization

Synchronized control with neuro-agents for leader–follower based multiple robotic manipulators

Neural network based hybrid computing model for wind speed prediction

Genetic ensemble of extreme learning machine

Evolutionary extreme learning machine ensembles with size control

A dynamic neural network approach for solving nonlinear inequalities defined on a graph and its application to distributed, routing-free, range-free localization of WSNs

Numerical treatment for nonlinear MHD Jeffery–Hamel problem using neural networks optimized with interior point algorithm

Extreme learning machine towards dynamic model hypothesis in fish ethology research

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

New approaches on stability criteria for neural networks with two additive time-varying delay components

Exponential stability of Markovian jumping stochastic Cohen–Grossberg neural networks with mode-dependent probabilistic time-varying delays and impulses

Application of BW-ELM model on traffic sign recognition

Comparison of a genetic algorithm and simulated annealing for automatic neural network ensemble development

Exponential synchronization of Markovian jumping neural networks with partly unknown transition probabilities via stochastic sampled-data control

Ensemble of online neural networks for non-stationary and imbalanced data streams

Predicting minority class for suspended particulate matters level by extreme learning machine

Melt index prediction by aggregated RBF neural networks trained with chaotic theory

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