Wei Wu

Orcid: 0000-0002-3137-4086

Affiliations:
  • Dalian University of Technology, School of Mathematical Sciences, China
  • Oxford University, UK (PhD 1987)


According to our database1, Wei Wu authored at least 80 papers between 2002 and 2023.

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Bibliography

2023
Coding Method Based on Fuzzy C-Means Clustering for Spiking Neural Network With Triangular Spike Response Function.
IEEE Trans. Fuzzy Syst., December, 2023

Understanding Deep Neural Networks via Linear Separability of Hidden Layers.
CoRR, 2023

2022
Spiking Neural Network Regularization With Fixed and Adaptive Drop-Keep Probabilities.
IEEE Trans. Neural Networks Learn. Syst., 2022

A New Fuzzy Spiking Neural Network Based on Neuronal Contribution Degree.
IEEE Trans. Fuzzy Syst., 2022

A new classifier for imbalanced data with iterative learning process and ensemble operating process.
Knowl. Based Syst., 2022

2020
Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems.
Neural Process. Lett., 2020

Learning imbalanced datasets based on SMOTE and Gaussian distribution.
Inf. Sci., 2020

2019
Subspace Clustering Under Complex Noise.
IEEE Trans. Circuits Syst. Video Technol., 2019

A Genetic XK-Means Algorithm with Empty Cluster Reassignment.
Symmetry, 2019

Extreme learning machine with local connections.
Neurocomputing, 2019

A Data-Driven Framework for Tunnel Geological-Type Prediction Based on TBM Operating Data.
IEEE Access, 2019

Binary Output Layer of Feedforward Neural Networks for Solving Multi-Class Classification Problems.
IEEE Access, 2019

Group L<sub>1/2</sub> Regularization for Pruning Hidden Layer Nodes of Feedforward Neural Networks.
IEEE Access, 2019

2018
Subspace Clustering With K-Support Norm.
IEEE Trans. Circuits Syst. Video Technol., 2018

Feedforward Neural Networks with a Hidden Layer Regularization Method.
Symmetry, 2018

Multi-functional nearest-neighbour classification.
Soft Comput., 2018

A New Conjugate Gradient Method with Smoothing L<sub>1/2</sub> Regularization Based on a Modified Secant Equation for Training Neural Networks.
Neural Process. Lett., 2018

The convergence analysis of SpikeProp algorithm with smoothing L1∕2 regularization.
Neural Networks, 2018

Smooth group <i>L</i><sub>1/2</sub> regularization for input layer of feedforward neural networks.
Neurocomputing, 2018

A Modified Sigma-Pi-Sigma Neural Network with Adaptive Choice of Multinomials.
CoRR, 2018

Extreme Learning Machine with Local Connections.
CoRR, 2018

2017
Prediction of essential proteins based on subcellular localization and gene expression correlation.
BMC Bioinform., 2017

Input Layer Regularization of Multilayer Feedforward Neural Networks.
IEEE Access, 2017

Subspace Clustering Under Multiplicative Noise Corruption.
Proceedings of the Intelligence Science and Big Data Engineering, 2017

2016
Extreme learning machine for interval neural networks.
Neural Comput. Appl., 2016

A novel algorithm for identifying essential proteins by integrating subcellular localization.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2015
An Algorithm for Motif Discovery with Iteration on Lengths of Motifs.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

A Modified Learning Algorithm for Interval Perceptrons with Interval Weights.
Neural Process. Lett., 2015

Convergence of batch gradient learning algorithm with smoothing L<sub>1/2</sub> regularization for Sigma-Pi-Sigma neural networks.
Neurocomputing, 2015

Kernel-based Fuzzy-rough Nearest-neighbour Classification for Mammographic Risk Analysis.
Int. J. Fuzzy Syst., 2015

Convergence Analysis of a New Self Organizing Map Based Optimization (SOMO) Algorithm.
Cogn. Comput., 2015

A novel dimensionality reduction algorithm based on Laplace matrix for microbiome data analysis.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
Batch gradient method with smoothing L<sub>1/2</sub> regularization for training of feedforward neural networks.
Neural Networks, 2014

A pruning algorithm with L 1/2 regularizer for extreme learning machine.
J. Zhejiang Univ. Sci. C, 2014

A modified gradient learning algorithm with smoothing L<sub>1/2</sub> regularization for Takagi-Sugeno fuzzy models.
Neurocomputing, 2014

Double parallel feedforward neural network based on extreme learning machine with L<sub>1/2</sub> regularizer.
Neurocomputing, 2014

Convergence of online gradient method for feedforward neural networks with smoothing L<sub>1/2</sub> regularization penalty.
Neurocomputing, 2014

2013
Modified gradient-based learning for local coupled feedforward neural networks with Gaussian basis function.
Neural Comput. Appl., 2013

Fuzzy similarity-based nearest-neighbour classification as alternatives to their fuzzy-rough parallels.
Int. J. Approx. Reason., 2013

The Binary Output Units of Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013

2012
A Modified Spiking Neuron that Involves Derivative of the State Function at Firing Time.
Neural Process. Lett., 2012

Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty.
Neural Networks, 2012

Negative effects of sufficiently small initialweights on back-propagation neural networks.
J. Zhejiang Univ. Sci. C, 2012

Boundedness and convergence of batch back-propagation algorithm with penalty for feedforward neural networks.
Neurocomputing, 2012

A remark on the error-backpropagation learning algorithm for spiking neural networks.
Appl. Math. Lett., 2012

A Modified One-Layer Spiking Neural Network Involves Derivative of the State Function at Firing Time.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

MaxMin-SOMO: An SOM Optimization Algorithm for Simultaneously Finding Maximum and Minimum of a Function.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

Computational Properties of Cyclic and Almost-Cyclic Learning with Momentum for Feedforward Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

2011
Binary Higher Order Neural Networks for Realizing Boolean Functions.
IEEE Trans. Neural Networks, 2011

Convergence of Cyclic and Almost-Cyclic Learning With Momentum for Feedforward Neural Networks.
IEEE Trans. Neural Networks, 2011

Convergence analysis of online gradient method for BP neural networks.
Neural Networks, 2011

Deterministic convergence of conjugate gradient method for feedforward neural networks.
Neurocomputing, 2011

Boundedness and convergence of MPN for cyclic and almost cyclic learning with penalty.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Kernel-based fuzzy-rough nearest neighbour classification.
Proceedings of the FUZZ-IEEE 2011, 2011

2010
Convergence of gradient method for a fully recurrent neural network.
Soft Comput., 2010

A modified gradient-based neuro-fuzzy learning algorithm and its convergence.
Inf. Sci., 2010

Choice of initial bias in max-min fuzzy neural networks.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Boundedness and Convergence of Online Gradient Method With Penalty for Feedforward Neural Networks.
IEEE Trans. Neural Networks, 2009

Boundedness and Convergence of Online Gradient Method with Penalty for Linear Output Feedforward Neural Networks.
Neural Process. Lett., 2009

An intuitionistic fuzzy associative memory network and its learning rule.
Proceedings of the 2009 IEEE International Conference on Granular Computing, 2009

An Attribute Value Reduction Algorithm Based on Set Operations.
Proceedings of the First International Workshop on Database Technology and Applications, 2009

2008
A comment on "Relaxed conditions for radial-basis function networks to be universal approximators".
Neural Networks, 2008

2007
Convergence Analysis of Batch Gradient Algorithm for Three Classes of Sigma-Pi Neural Networks.
Neural Process. Lett., 2007

Training Pi-Sigma Network by Online Gradient Algorithm with Penalty for Small Weight Update.
Neural Comput., 2007

L<sup>P</sup> Approximation Capabilities of Sum-of-Product and Sigma-pi-Sigma Neural Networks.
Int. J. Neural Syst., 2007

Is bias dispensable for fuzzy neural networks?
Fuzzy Sets Syst., 2007

Convergence of Gradient Descent Algorithm for a Recurrent Neuron.
Proceedings of the Advances in Neural Networks, 2007

Uniform Approximation Capabilities of Sum-of-Product and Sigma-Pi-Sigma Neural Networks.
Proceedings of the Advances in Neural Networks, 2007

Approximation to a Compact Set of Functions by Feedforward Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2007

Uniqueness of Linear Combinations of Ridge Functions.
Proceedings of the Third International Conference on Natural Computation, 2007

Convergence of Online Gradient Algorithm with Stochastic Inputs for Pi-Sigma Neural Networks.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

2006
Convergence of gradient method with momentum for two-Layer feedforward neural networks.
IEEE Trans. Neural Networks, 2006

Convergence of Batch BP Algorithm with Penalty for FNN Training.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

A Bottom-Up OCR System for Mathematical Formulas Recognition.
Proceedings of the Intelligent Computing, 2006

2005
Deterministic convergence of an online gradient method for BP neural networks.
IEEE Trans. Neural Networks, 2005

A New Training Algorithm for a Fuzzy Perceptron and Its Convergence.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Convergence of an Online Gradient Method for BP Neural Networks with Stochastic Inputs.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004
Recent Developments on Convergence of Online Gradient Methods for Neural Network Training.
Proceedings of the Advances in Neural Networks, 2004

2003
Convergence of online gradient methods for continuous perceptrons with linearly separable training patterns.
Appl. Math. Lett., 2003

2002
Training Multilayer Perceptrons Via Minimization of Sum of Ridge Functions.
Adv. Comput. Math., 2002


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