Wei Huang
Orcid: 0000-0002-4315-8487Affiliations:
- Tianjin University of Technology, School of Computer and Communication Engineering, China
- Suwon University, Computational Intelligence Laboratory, South Korea (2011 - 2012)
- Wuhan University, State Key Laboratory of Software Engineering, China (PhD 2011)
According to our database1,
Wei Huang
authored at least 47 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., November, 2024
IEEE Trans. Neural Networks Learn. Syst., June, 2024
J. Circuits Syst. Comput., May, 2024
An adaptive time-varying neural network for solving K optimal time-varying destroy locations query problem.
Knowl. Based Syst., 2024
Design of fuzzy hyperbox classifiers based on a two-stage genetic algorithm and simultaneous strategy.
Appl. Intell., 2024
Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024
2023
A Time Impulse Neural Network Framework for Solving the Minimum Path Pair Problems of the Time-Varying Network.
IEEE Trans. Knowl. Data Eng., August, 2023
2022
A Sorting Fuzzy Min-Max Model in an Embedded System for Atrial Fibrillation Detection.
ACM Trans. Multim. Comput. Commun. Appl., 2022
Neural Networks, 2022
A wave time-varying neural network for solving the time-varying shortest path problem.
Appl. Intell., 2022
A polynomial kernel neural network classifier based on random sampling and information gain.
Appl. Intell., 2022
2021
A time-varying neural network for solving minimum spanning tree problem on time-varying network.
Neurocomputing, 2021
Fuzzy reinforced polynomial neural networks constructed with the aid of PNN architecture and fuzzy hybrid predictor based on nonlinear function.
Neurocomputing, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Density-Sorting-Based Convolutional Fuzzy Min-Max Neural Network for Image Classification.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021
2020
A Time Wave Neural Network Framework for Solving Time-Dependent Project Scheduling Problems.
IEEE Trans. Neural Networks Learn. Syst., 2020
Hybrid fuzzy integrated convolutional neural network (HFICNN) for similarity feature recognition problem in abnormal netflow detection.
Neurocomputing, 2020
Proceedings of the Web Information Systems and Applications, 2020
2019
Multiobjective differential evolution enhanced with principle component analysis for constrained optimization.
Swarm Evol. Comput., 2019
Design of Polynomial Fuzzy Neural Network Classifiers Based on Density Fuzzy C-Means and L2-Norm Regularization.
Proceedings of the Data Science, 2019
2018
Hybrid Fuzzy Wavelet Neural Networks Architecture Based on Polynomial Neural Networks and Fuzzy Set/Relation Inference-Based Wavelet Neurons.
IEEE Trans. Neural Networks Learn. Syst., 2018
Multiobjective Optimization Differential Evolution Enhanced with Principle Component Analysis for Constrained Optimization.
CoRR, 2018
2017
IEEE Trans. Fuzzy Syst., 2017
Neural Networks, 2017
Hybrid fuzzy polynomial neural networks with the aid of weighted fuzzy clustering method and fuzzy polynomial neurons.
Appl. Intell., 2017
Proceedings of the Computational Intelligence and Intelligent Systems, 2017
2016
The Shortest Path Problem on a Time-Dependent Network With Mixed Uncertainty of Randomness and Fuzziness.
IEEE Trans. Intell. Transp. Syst., 2016
Polynomial Neural Network Classifiers Based on Data Preprocessing and Space Search Optimization.
Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016
2015
2014
Design of hybrid radial basis function neural networks (HRBFNNs) realized with the aid of hybridization of fuzzy clustering method (FCM) and polynomial neural networks (PNNs).
Neural Networks, 2014
2013
Appl. Soft Comput., 2013
2012
IEEE Trans. Commun., 2012
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Hybrid Optimized Polynomial Neural Networks with Polynomial Neurons and Fuzzy Polynomial Neurons.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012
2011
IEEE Trans. Engineering Management, 2011
A comparative study of information granulation-based fuzzy inference systems developed by means of space optimization algorithm (SOA) and genetic algorithms.
Proceedings of the Research in Applied Computation Symposium, 2011
Design of Information Granulation-Based Fuzzy Models with the Aid of Multi-objective Optimization and Successive Tuning Method.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
Design of Fuzzy Radial Basis Function Neural Networks with the Aid of Multi-objective Optimization Based on Simultaneous Tuning.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
2010
KSII Trans. Internet Inf. Syst., 2010
Optimized FCM-Based Radial Basis Function Neural Networks: A Comparative Analysis of LSE and WLSE Method.
Proceedings of the Advances in Neural Networks, 2010
Proceedings of the Advances in Neural Networks, 2010
2009
Project Scheduling Problem for Software Development with Random Fuzzy Activity Duration Times.
Proceedings of the Advances in Neural Networks, 2009