Yinggan Tang

According to our database1, Yinggan Tang authored at least 33 papers between 2005 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Parameter Identification of Fractional Order Systems Using a Hybrid of Bernoulli Polynomials and Block Pulse Functions.
IEEE Access, 2021

2020
Stability Analysis and Estimation of Domain of Attraction for Positive Polynomial Fuzzy Systems With Input Saturation.
IEEE Trans. Fuzzy Syst., 2020

Design and Implementation of Novel Fractional-Order Controllers for Stabilized Platforms.
IEEE Access, 2020

2018
Application of ELM-Hammerstein model to the identification of solid oxide fuel cells.
Neural Comput. Appl., 2018

Nonlocal Means Two Dimensional Histogram-Based Image Segmentation via Minimizing Relative Entropy.
Entropy, 2018

Image Thresholding Segmentation Based on Two Dimensional Histogram Using Gray Level and Local Entropy Information.
IEEE Access, 2018

2017
A changing forgetting factor RLS for online identification of nonlinear systems based on ELM-Hammerstein model.
Neural Comput. Appl., 2017

Optimal fractional order PID controller design for automatic voltage regulator system based on reference model using particle swarm optimization.
Int. J. Mach. Learn. Cybern., 2017

Image Bi-Level Thresholding Based on Gray Level-Local Variance Histogram.
Entropy, 2017

Parameter Identification of Chaotic Systems Using an Improved Artificial Bee Colony Algorithm.
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017

2016
Ill-posed Echo State Network based on L-curve Method for Prediction of Blast Furnace Gas Flow.
Neural Process. Lett., 2016

Modeling of the hot metal silicon content in blast furnace using support vector machine optimized by an improved particle swarm optimizer.
Neural Comput. Appl., 2016

Optimal gray PID controller design for automatic voltage regulator system via imperialist competitive algorithm.
Int. J. Mach. Learn. Cybern., 2016

A fast training algorithm for extreme learning machine based on matrix decomposition.
Neurocomputing, 2016

Identification and control of nonlinear system based on Laguerre-ELM Wiener model.
Commun. Nonlinear Sci. Numer. Simul., 2016

Convolutional neural network with gradient information for image super-resolution.
Proceedings of the IEEE International Conference on Information and Automation, 2016

Coupled deep auto-encoder with image edge information for image super-resolution.
Proceedings of the IEEE International Conference on Information and Automation, 2016

2015
Parameter identification of fractional order systems using block pulse functions.
Signal Process., 2015

Nonlinear system identification using least squares support vector machine tuned by an adaptive particle swarm optimization.
Int. J. Mach. Learn. Cybern., 2015

A new particle swarm optimization algorithm with adaptive inertia weight based on Bayesian techniques.
Appl. Soft Comput., 2015

Dynamic multi-swarm particle swarm optimizer with cooperative learning strategy.
Appl. Soft Comput., 2015

2014
Identification of Hammerstein model using functional link artificial neural network.
Neurocomputing, 2014

Identification of nonlinear system using extreme learning machine based Hammerstein model.
Commun. Nonlinear Sci. Numer. Simul., 2014

An image segmentation method based on maximizing fuzzy correlation and its fast recursive algorithm.
Comput. Electr. Eng., 2014

Stochastic gradient with changing forgetting factor-based parameter identification for Wiener systems.
Appl. Math. Lett., 2014

An improved krill herd algorithm: Krill herd with linear decreasing step.
Appl. Math. Comput., 2014

Wiener model identification of blast furnace ironmaking process based on Laguerre filter and linear programming support vector regression.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013
Fractional order sliding mode controller design for antilock braking systems.
Neurocomputing, 2013

Modified Fuzzy Linear Discriminant Analysis for Threshold Selection.
Circuits Syst. Signal Process., 2013

2012
Optimum design of fractional order PI<sup>λ</sup>D<sup>μ</sup> controller for AVR system using chaotic ant swarm.
Expert Syst. Appl., 2012

2011
A fast recursive algorithm based on fuzzy 2-partition entropy approach for threshold selection.
Neurocomputing, 2011

2010
Identification of Wiener model using step signals and particle swarm optimization.
Expert Syst. Appl., 2010

2005
Texture Segmentation Using Intensified Fuzzy Kohonen Clustering Network.
Proceedings of the Advances in Natural Computation, First International Conference, 2005


  Loading...