Yinggan Tang

发表

Parameter estimation of chaotic system with time-delay: A differential evolution approach

Yinggan Tang, X. Guan, 2009 .

Application of a new image segmentation method to detection of defects in castings

Xinping Guan, Yinggan Tang, Yinggan Tang, 2009 .

Parameter estimation for time-delay chaotic system by particle swarm optimization

Yinggan Tang, X. Guan, 2009 .

A time-varying forgetting factor stochastic gradient combined with Kalman filter algorithm for parameter identification of dynamic systems

Yinggan Tang, X. Guan, C. Hua, 2014 .

Identification of Wiener Model Using Least Squares Support Vector Machine Optimized by Adaptive Particle Swarm Optimization

Yinggan Tang, Juhai Ma, Liheng Zhao, 2015 .

Multi-resolution image segmentation based on Gaussian mixture model

Dong Liu, X. Guan, Yinggan Tang, 2006 .

Identification of linear time-varying fractional order systems using block pulse functions based on repetitive principle.

Yinggan Tang, Bo Zhang, Yao Lu, 2021, ISA transactions.

Image Bi-Level Thresholding Based on Gray Level-Local Variance Histogram

Hong Ye, Yinggan Tang, Xiulian Zheng, 2017, Entropy.

Parameter identification of commensurate fractional-order chaotic system via differential evolution

Changchun Hua, Yixian Yang, Yinggan Tang, 2012 .

Parameter identification of fractional order systems with nonzero initial conditions based on block pulse functions

Yinggan Tang, Shuen Wang, Xuguang Zhang, 2020, Measurement.

Parameter Identification of Fractional Order Systems Using a Collocation Method Based on Hybrid Functions

Yinggan Tang, Y. Lu, Jie Zhang, 2020 .

Identification of wiener model with discontinuous nonlinearities using differential evolution

Yinggan Tang, X. Guan, Juhai Ma, 2013 .

Stabilization Analysis and Impulsive Controller Design for Positive Interval Type-2 Polynomial Fuzzy Systems

H. Lam, Yinggan Tang, Fucai Liu, 2022, IEEE Transactions on Fuzzy Systems.

An improved imperialist competition algorithm with adaptive differential mutation assimilation strategy for function optimization

Yinggan Tang, F. Zhou, 2022, Expert Systems with Applications.

Single image super-resolution using Wasserstein generative adversarial network with gradient penalty

Yinggan Tang, Chenglu Liu, Xuguang Zhang, 2022, Pattern Recognit. Lett..

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

Yinggan Tang, X. Guan, C. Hua, 2016, Neural Computing and Applications.

The flow amounts prediction of BFG with an improved PSO-BP algorithm

Changchun Hua, Xinping Guan, Yinggan Tang, 2013, Proceedings of the 32nd Chinese Control Conference.

Fuzzy PID control of epileptiform spikes in a neural mass model

Yinggan Tang, Q. Gao, Xian Liu, 2012, Nonlinear Dynamics.

Convolutional neural network with gradient information for image super-resolution

Xiaoning Zhu, Yinggan Tang, Mingyong Cui, 2016, 2016 IEEE International Conference on Information and Automation (ICIA).

Ill-posed Echo State Network based on L-curve Method for Prediction of Blast Furnace Gas Flow

Xin-Ping Guan, Changchun Hua, Limin Zhang, 2014, Neural Processing Letters.

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

Ying Wang, Xiao Li, Ning Li, 2017, Int. J. Mach. Learn. Cybern..

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

Y. Wang, Yinggan Tang, Fucai Liu, 2016, International Journal of Machine Learning and Cybernetics.

Texture Segmentation Using Intensified Fuzzy Kohonen Clustering Network

Dong Liu, Xin-Ping Guan, Yinggan Tang, 2005, ICNC.

Fractional order sliding mode controller design for antilock braking systems

Dongli Zhang, Xin-Ping Guan, Gang Zhao, 2013, Neurocomputing.

A changing forgetting factor RLS for online identification of nonlinear systems based on ELM–Hammerstein model

Ying Wang, Linlin Zhang, Yinggan Tang, 2017, Neural Computing and Applications.

Identification and control of nonlinear system based on Laguerre-ELM Wiener model

Xinping Guan, Yinggan Tang, Fucai Liu, 2016, Commun. Nonlinear Sci. Numer. Simul..

Stochastic gradient with changing forgetting factor-based parameter identification for Wiener systems

Xin-Ping Guan, Changchun Hua, Junpeng Li, 2014, Appl. Math. Lett..

Modified Fuzzy Linear Discriminant Analysis for Threshold Selection

Yixian Yang, Xiumei Zhang, Yinggan Tang, 2013, Circuits Syst. Signal Process..

Modified Fuzzy Linear Discriminant Analysis for Threshold Selection

Yinggan Tang, Xiumei Zhang, Yixian Yang, 2012, Circuits, systems, and signal processing.

Parameter identification of fractional-order chaotic system with time delay via multi-selection differential evolution

Fucai Liu, Yinggan Tang, Yinggan Tang, 2017 .

Parameter Identification of Chaotic Systems Using an Improved Artificial Bee Colony Algorithm

Dongli Zhang, Yinggan Tang, Yinggan Tang, 2017, 2017 10th International Symposium on Computational Intelligence and Design (ISCID).

An improved krill herd algorithm: Krill herd with linear decreasing step

Xin-Ping Guan, Changchun Hua, Junpeng Li, 2014, Appl. Math. Comput..

Modified Artificial Bee Colony Algorithms for Numerical Optimization

Yong Tang, Dongli Zhang, Xinping Guan, 2011, 2011 3rd International Workshop on Intelligent Systems and Applications.

A fast recursive algorithm based on fuzzy 2-partition entropy approach for threshold selection

Xuguang Zhang, Yinggan Tang, Weiwei Mu, 2011, Neurocomputing.

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

Xin-Ping Guan, Yinggan Tang, Liheng Zhao, 2016, Int. J. Mach. Learn. Cybern..

Parameter estimation of Wiener model using differential evolution algorithm

Yinggan Tang, 2022 .

Wiener model identification of blast furnace ironmaking process based on Laguerre filter and linear programming support vector regression

Xin-Ping Guan, Changchun Hua, Xia Xu, 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

CONTINUOUS-TIME FRACTIONAL ORDER LINEAR SYSTEMS IDENTIFICATION USING CHEBYSHEV WAVELET

Yinggan Tang, Shuen Wang, Ying Wang, 2020 .

Identification of fractional-order systems with time delays using block pulse functions

Yinggan Tang, Yao Lu, Ning Li, 2017 .

Parameter identification of fractional order systems using block pulse functions

Xin-Ping Guan, Weiwei Wang, Qiusheng Lian, 2015, Signal Process..

Design and Implementation of Novel Fractional-Order Controllers for Stabilized Platforms

Yao Lu, Pengcheng Liu, Fucai Liu, 2020, IEEE Access.

An improved imperialist competitive algorithm for global optimization

Yueli Hu, Yinggan Tang, Ting You, 2019, Turkish J. Electr. Eng. Comput. Sci..

A new particle swarm optimization algorithm with adaptive inertia weight based on Bayesian techniques

Xin-Ping Guan, Changchun Hua, Limin Zhang, 2015, Appl. Soft Comput..

Parameter identification of time-delay chaotic system using chaotic ant swarm

Haipeng Peng, Xinping Guan, Lixiang Li, 2009 .

Adaptive Fuzzy Fractional-Order Sliding Mode Controller Design for Antilock Braking Systems

Ying Wang, Qiusheng Lian, Yinggan Tang, 2016 .

Optimum design of fractional order PIλDμ controller for AVR system using chaotic ant swarm

Lixiang Li, Yixian Yang, Changchun Hua, 2012, Expert Syst. Appl..

Identification of wiener model with discontinuous nonlinearities using differential evolution

Yinggan Tang, X. Guan, Dongli Zhang, 2013, International Journal of Control, Automation and Systems.

Identification of Wiener model using step signals and particle swarm optimization

Xin-Ping Guan, Yinggan Tang, Leijie Qiao, 2010, Expert Syst. Appl..

Parameter Identification of Wiener Model with Discontinuous Nonlinearities Using Hybrid Simplex Search and Particle Swarm Optimization

Xinping Guan, Yinggan Tang, Leijie Qiao, 2008 .

Numerical solution of fractional differential equations using hybrid Bernoulli polynomials and block pulse functions

Yinggan Tang, Bo Zhang, Xuguang Zhang, 2021, Mathematical Sciences.

Dynamic multi-swarm particle swarm optimizer with cooperative learning strategy

Xin-Ping Guan, Changchun Hua, Xia Xu, 2015, Appl. Soft Comput..

Optimum Design of Fractional Order PID Controller for an AVR System Using an Improved Artificial Bee Colony Algorithm

Xinping Guan, Yinggan Tang, Dong-Li Zhang, 2014 .

Identification of Hammerstein model using functional link artificial neural network

Xin-Ping Guan, Zhonghui Li, Yinggan Tang, 2014, Neurocomputing.

Ship roll motion prediction based on ℓ1 regularized extreme learning machine

Zhibin Wang, Wei Yang, Yinggan Tang, 2018, PloS one.

Identification of Wiener Model Using Least Squares Support Vector Machine Optimized by Adaptive Particle Swarm Optimization

Yinggan Tang, Juhai Ma, Liheng Zhao, 2015, Journal of Control, Automation and Electrical Systems.

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

Fucai Liu, Yinggan Tang, Zhenzhen Han, 2015, Int. J. Mach. Learn. Cybern..

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

Yinggan Tang, Shuen Wang, Fucai Liu, 2015, International Journal of Machine Learning and Cybernetics.

Identification of chaotic system using Hammerstein-ELM model

Xinping Guan, Weiwei Wang, Yinggan Tang, 2015 .

Identification of chaotic system using Hammerstein-ELM model

Yinggan Tang, Shuen Wang, Fucai Liu, 2015, Nonlinear Dynamics.

Ill-posed Echo State Network based on L-curve Method for Prediction of Blast Furnace Gas Flow

Yinggan Tang, X. Guan, C. Hua, 2016, Neural Processing Letters.

More relaxed stability analysis and positivity analysis for positive polynomial fuzzy systems via membership functions dependent method

H. Lam, Yinggan Tang, Fucai Liu, 2020, Fuzzy Sets Syst..

A new method for solving variable coefficients fractional differential equations based on a hybrid of Bernoulli polynomials and block pulse functions

Yinggan Tang, Bo Zhang, Xuguang Zhang, 2021, Mathematical Methods in the Applied Sciences.

Coupled deep auto-encoder with image edge information for image super-resolution

Yinggan Tang, Chunning Bu, Liying Zhao, 2016, 2016 IEEE International Conference on Information and Automation (ICIA).

Stability Analysis and Estimation of Domain of Attraction for Positive Polynomial Fuzzy Systems With Input Saturation

Hak-Keung Lam, Fucai Liu, Yinggan Tang, 2020, IEEE Transactions on Fuzzy Systems.

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

Gang Zhao, Yinggan Tang, Weiwei Mu, 2014, Comput. Electr. Eng..