# Yinggan Tang

According to our database

Collaborative distances:

^{1}, Yinggan Tang authored at least 28 papers between 2005 and 2018.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2018

Application of ELM-Hammerstein model to the identification of solid oxide fuel cells.

Neural Computing and Applications, 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 Computing and Applications, 2017

Optimal fractional order PID controller design for automatic voltage regulator system based on reference model using particle swarm optimization.

Int. J. Machine Learning & Cybernetics, 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 Processing Letters, 2016

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

Neural Computing and Applications, 2016

Optimal gray PID controller design for automatic voltage regulator system via imperialist competitive algorithm.

Int. J. Machine Learning & Cybernetics, 2016

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

Neurocomputing, 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 Processing, 2015

Nonlinear system identification using least squares support vector machine tuned by an adaptive particle swarm optimization.

Int. J. Machine Learning & Cybernetics, 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

An image segmentation method based on maximizing fuzzy correlation and its fast recursive algorithm.

Computers & Electrical Engineering, 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.

Applied Mathematics and Computation, 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.

CSSP, 2013

2012

Optimum design of fractional order PI

^{λ}D^{μ}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