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2020 – today
- 2020
- [j55]Hong-Gui Han, Hui-Juan Zhang, Jun-Fei Qiao:
Robust Deep Neural Network Using Fuzzy Denoising Autoencoder. Int. J. Fuzzy Syst. 22(4): 1356-1375 (2020) - [j54]Ying-Xu Wang, Hong-Gui Han, Min Guo, Jun-Fei Qiao:
A self-organizing deep belief network based on information relevance strategy. Neurocomputing 396: 241-253 (2020) - [j53]Xiao-Long Wu
, Honggui Han
, Zheng Liu, Junfei Qiao:
Data-Knowledge-Based Fuzzy Neural Network for Nonlinear System Identification. IEEE Trans. Fuzzy Syst. 28(9): 2209-2221 (2020) - [j52]Honggui Han
, Zheng Liu, Ying Hou, Junfei Qiao:
Data-Driven Multiobjective Predictive Control for Wastewater Treatment Process. IEEE Trans. Ind. Informatics 16(4): 2767-2775 (2020) - [j51]Honggui Han
, Xiao-Long Wu
, Junfei Qiao:
Design of Robust Sliding Mode Control With Adaptive Reaching Law. IEEE Trans. Syst. Man Cybern. Syst. 50(11): 4415-4424 (2020) - [c15]Haoyuan Sun, Honggui Han, Jian Sun, Jie Chen:
Dynamic Output Feedback Control of a Sampled-Data System Under Stochastic Sampling. CDC 2020: 2398-2403
2010 – 2019
- 2019
- [j50]Hong-Gui Han, Zheng Liu, Jun-Fei Qiao:
Fuzzy Neural Network-Based Model Predictive Control for Dissolved Oxygen Concentration of WWTPs. Int. J. Fuzzy Syst. 21(5): 1497-1510 (2019) - [j49]Hong-Gui Han, Jia-Ming Li, Xiao-Long Wu, Jun-Fei Qiao:
Cooperative strategy for constructing interval type-2 fuzzy neural network. Neurocomputing 365: 249-260 (2019) - [j48]Junfei Qiao, Guangyuan Pan, Honggui Han:
A regularization-reinforced DBN for digital recognition. Nat. Comput. 18(4): 721-733 (2019) - [j47]Jun-Fei Qiao, Ying Hou
, Hong-Gui Han:
Optimal control for wastewater treatment process based on an adaptive multi-objective differential evolution algorithm. Neural Comput. Appl. 31(7): 2537-2550 (2019) - [j46]Honggui Han
, Xiao-Long Wu
, Junfei Qiao:
A Self-Organizing Sliding-Mode Controller for Wastewater Treatment Processes. IEEE Trans. Control. Syst. Technol. 27(4): 1480-1491 (2019) - [j45]Honggui Han
, Lu Zhang, Xiao-Long Wu
, Junfei Qiao:
An Efficient Second-Order Algorithm for Self-Organizing Fuzzy Neural Networks. IEEE Trans. Cybern. 49(1): 14-26 (2019) - [j44]Honggui Han
, Xiao-Long Wu
, Lu Zhang, Yu Tian, Junfei Qiao:
Self-Organizing RBF Neural Network Using an Adaptive Gradient Multiobjective Particle Swarm Optimization. IEEE Trans. Cybern. 49(1): 69-82 (2019) - [j43]Honggui Han
, Xiao-Long Wu
, Hongxu Liu, Junfei Qiao:
An Efficient Optimization Method for Improving Generalization Performance of Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. 27(7): 1347-1361 (2019) - 2018
- [j42]Honggui Han
, Lu Zhang
, Junfei Qiao:
Data-Based Predictive Control for Wastewater Treatment Process. IEEE Access 6: 1498-1512 (2018) - [j41]Hong-Gui Han, Lu Zhang, Hong-Xu Liu, Jun-Fei Qiao:
Multiobjective design of fuzzy neural network controller for wastewater treatment process. Appl. Soft Comput. 67: 467-478 (2018) - [j40]Hong-Gui Han, Ya-Nan Guo, Jun-Fei Qiao:
Nonlinear system modeling using a self-organizing recurrent radial basis function neural network. Appl. Soft Comput. 71: 1105-1116 (2018) - [j39]Jun-Fei Qiao, Ying Hou
, Lu Zhang, Hong-Gui Han:
Adaptive fuzzy neural network control of wastewater treatment process with multiobjective operation. Neurocomputing 275: 383-393 (2018) - [j38]Cuili Yang, Junfei Qiao, Honggui Han, Lei Wang:
Design of polynomial echo state networks for time series prediction. Neurocomputing 290: 148-160 (2018) - [j37]Hong-Gui Han, Zhi-Yuan Chen, Hong-Xu Liu, Jun-Fei Qiao:
A self-organizing interval Type-2 fuzzy-neural-network for modeling nonlinear systems. Neurocomputing 290: 196-207 (2018) - [j36]Honggui Han
, Wei Lu, Lu Zhang, Junfei Qiao:
Adaptive Gradient Multiobjective Particle Swarm Optimization. IEEE Trans. Cybern. 48(11): 3067-3079 (2018) - [j35]Hong-Gui Han
, Xiao-Long Wu
, Zheng Liu, Jun-Fei Qiao:
Design of Self-Organizing Intelligent Controller Using Fuzzy Neural Network. IEEE Trans. Fuzzy Syst. 26(5): 3097-3111 (2018) - [j34]Hong-Gui Han
, Wei Lu, Ying Hou, Jun-Fei Qiao:
An Adaptive-PSO-Based Self-Organizing RBF Neural Network. IEEE Trans. Neural Networks Learn. Syst. 29(1): 104-117 (2018) - 2017
- [j33]Junfei Qiao, Gaitang Han, Honggui Han, Wei Chai:
Wastewater treatment control method based on a rule adaptive recurrent fuzzy neural network. Int. J. Intell. Comput. Cybern. 10(2): 94-110 (2017) - [j32]Hong-Gui Han, Ya-Nan Guo, Jun-Fei Qiao:
Self-organization of a recurrent RBF neural network using an information-oriented algorithm. Neurocomputing 225: 80-91 (2017) - [j31]Hong-Gui Han, Shuo Zhang, Jun-Fei Qiao:
An adaptive growing and pruning algorithm for designing recurrent neural network. Neurocomputing 242: 51-62 (2017) - [j30]Junfei Qiao, Sanyi Li, Honggui Han, Dianhui Wang
:
An improved algorithm for building self-organizing feedforward neural networks. Neurocomputing 262: 28-40 (2017) - [j29]Hong-Gui Han, Zheng-Lai Lin, Jun-Fei Qiao:
Modeling of nonlinear systems using the self-organizing fuzzy neural network with adaptive gradient algorithm. Neurocomputing 266: 566-578 (2017) - [j28]Junfei Qiao, Gaitang Han, Honggui Han, Cuili Yang, Wei Li:
A Hybrid Intelligent Optimal Control System Design for Wastewater Treatment Process. Inf. Technol. Control. 46(3): 382-394 (2017) - [j27]Honggui Han
, Wei Lu, Junfei Qiao:
An Adaptive Multiobjective Particle Swarm Optimization Based on Multiple Adaptive Methods. IEEE Trans. Cybern. 47(9): 2754-2767 (2017) - [j26]Junfei Qiao, Fanjun Li, Honggui Han, Wenjing Li:
Growing Echo-State Network With Multiple Subreservoirs. IEEE Trans. Neural Networks Learn. Syst. 28(2): 391-404 (2017) - [c14]Ying Hou, Cuili Yang, Junfei Qiao, Honggui Han:
An adaptive multi-objective differential evolution algorithm based on evolutionary process information. SPAC 2017: 383-388 - 2016
- [j25]Honggui Han, Ying Li, Ya-Nan Guo, Junfei Qiao:
A soft computing method to predict sludge volume index based on a recurrent self-organizing neural network. Appl. Soft Comput. 38: 477-486 (2016) - [j24]Fanjun Li, Junfei Qiao, Honggui Han, Cuili Yang:
A self-organizing cascade neural network with random weights for nonlinear system modeling. Appl. Soft Comput. 42: 184-193 (2016) - [j23]Junfei Qiao, Wei Li, Xiao-Jun Zeng, Honggui Han:
Identification of fuzzy neural networks by forward recursive input-output clustering and accurate similarity analysis. Appl. Soft Comput. 49: 524-543 (2016) - [j22]Junfei Qiao, Fanjun Li, Honggui Han, Wenjing Li:
Constructive algorithm for fully connected cascade feedforward neural networks. Neurocomputing 182: 154-164 (2016) - [j21]Hong-Gui Han, Lu-Ming Ge, Jun-Fei Qiao:
An adaptive second order fuzzy neural network for nonlinear system modeling. Neurocomputing 214: 837-847 (2016) - [j20]Junfei Qiao, Wei Zhang
, Honggui Han:
Self-organizing fuzzy control for dissolved oxygen concentration using fuzzy neural network. J. Intell. Fuzzy Syst. 30(6): 3411-3422 (2016) - [j19]Hong-Gui Han, Lu Zhang, Ying Hou, Jun-Fei Qiao:
Nonlinear Model Predictive Control Based on a Self-Organizing Recurrent Neural Network. IEEE Trans. Neural Networks Learn. Syst. 27(2): 402-415 (2016) - 2015
- [j18]Honggui Han, Wendong Zhou, Junfei Qiao, Gang Feng
:
A Direct Self-Constructing Neural Controller Design for a Class of Nonlinear Systems. IEEE Trans. Neural Networks Learn. Syst. 26(6): 1312-1322 (2015) - [c13]Xi Meng, Jun-Fei Qiao, Hong-Gui Han:
An ART-like algorithm for constructing RBF neural networks. IJCNN 2015: 1-7 - 2014
- [j17]Honggui Han, Ying Li, Junfei Qiao:
A fuzzy neural network approach for online fault detection in waste water treatment process. Comput. Electr. Eng. 40(7): 2216-2226 (2014) - [j16]Hong-Gui Han, Lidan Wang, Jun-Fei Qiao:
Hierarchical extreme learning machine for feedforward neural network. Neurocomputing 128: 128-135 (2014) - [j15]Honggui Han, Xiao-Long Wu, Jun-Fei Qiao:
Nonlinear Systems Modeling Based on Self-Organizing Fuzzy-Neural-Network With Adaptive Computation Algorithm. IEEE Trans. Cybern. 44(4): 554-564 (2014) - [j14]Honggui Han, Junfei Qiao:
Nonlinear Model-Predictive Control for Industrial Processes: An Application to Wastewater Treatment Process. IEEE Trans. Ind. Electron. 61(4): 1970-1982 (2014) - [c12]Wei Li, Honggui Han, Junfei Qiao:
An input-output clustering approach for structure identification of T-S fuzzy neural networks. CICA 2014: 21-28 - [c11]Honggui Han, Lidan Wang, Junfei Qiao, Gang Feng
:
A Spiking-based mechanism for self-organizing RBF neural networks. IJCNN 2014: 3775-3782 - 2013
- [j13]Hong-Gui Han, Jun-Fei Qiao:
A structure optimisation algorithm for feedforward neural network construction. Neurocomputing 99: 347-357 (2013) - [j12]Hong-Gui Han, Lidan Wang, Jun-Fei Qiao:
Efficient self-organizing multilayer neural network for nonlinear system modeling. Neural Networks 43: 22-32 (2013) - [j11]Honggui Han, Junfei Qiao:
Hierarchical Neural Network Modeling Approach to Predict Sludge Volume Index of Wastewater Treatment Process. IEEE Trans. Control. Syst. Technol. 21(6): 2423-2431 (2013) - [j10]Hong-Gui Han, Xiao-Long Wu, Jun-Fei Qiao:
Real-Time Model Predictive Control Using a Self-Organizing Neural Network. IEEE Trans. Neural Networks Learn. Syst. 24(9): 1425-1436 (2013) - 2012
- [j9]Jun-Fei Qiao, Hong-Gui Han:
Identification and modeling of nonlinear dynamical systems using a novel self-organizing RBF-based approach. Autom. 48(8): 1729-1734 (2012) - [j8]Hong-Gui Han, Jun-Fei Qiao:
Adaptive Computation Algorithm for RBF Neural Network. IEEE Trans. Neural Networks Learn. Syst. 23(2): 342-347 (2012) - [c10]Xichun Yuan, Honggui Han, Junfei Qiao:
The sludge volume index soft sensor model based on PCA-ElmanNN. IJCNN 2012: 1-7 - [c9]Junfei Qiao, Xiaoqi Huang, Honggui Han:
Recurrent Neural Network-Based Control for Wastewater Treatment Process. ISNN (2) 2012: 496-506 - [c8]Junfei Qiao, Donghong Ren, Honggui Han:
Soft Measurement Modeling Based on Hierarchically Neural Network (HNN) for Wastewater Treatment. ISNN (2) 2012: 575-584 - 2011
- [j7]Hong-Gui Han, Jun-Fei Qiao:
Adaptive dissolved oxygen control based on dynamic structure neural network. Appl. Soft Comput. 11(4): 3812-3820 (2011) - [j6]Hong-Gui Han, Qili Chen, Jun-Fei Qiao:
An efficient self-organizing RBF neural network for water quality prediction. Neural Networks 24(7): 717-725 (2011) - 2010
- [j5]Honggui Han, Junfei Qiao, Xinyuan Li:
Research on structure dynamic neural networks. Int. J. Model. Identif. Control. 9(1/2): 152-160 (2010) - [j4]Jun-Fei Qiao, Hong-Gui Han:
A Repair Algorithm for Radial Basis Function Neural Network and its Application to Chemical oxygen Demand Modeling. Int. J. Neural Syst. 20(1): 63-74 (2010) - [j3]Honggui Han, Qili Chen, Junfei Qiao:
Research on an online self-organizing radial basis function neural network. Neural Comput. Appl. 19(5): 667-676 (2010) - [j2]Honggui Han, Junfei Qiao:
A Self-Organizing Fuzzy Neural Network Based on a Growing-and-Pruning Algorithm. IEEE Trans. Fuzzy Syst. 18(6): 1129-1143 (2010) - [c7]Qili Chen, Honggui Han, Junfei Qiao:
An improved recurrent neural network and its application in nonlinear control. BIC-TA 2010: 1263-1267
2000 – 2009
- 2009
- [c6]Honggui Han, Junfei Qiao:
A novel pruning algorithm for self-organizing neural network. IJCNN 2009: 1245-1250 - [c5]Jun-Fei Qiao, Miao Li, Hong-Gui Han:
A self-organizing neural network using fast training and pruning. IJCNN 2009: 1470-1475 - [c4]Junfei Qiao, Ruiyuan Fan, Honggui Han, Xiaogang Ruan:
Q-Learning Based on Dynamical Structure Neural Network for Robot Navigation in Unknown Environment. ISNN (3) 2009: 188-196 - 2008
- [j1]Jun-Fei Qiao, Ying Zhang, Hong-Gui Han:
Fast unit pruning algorithm for feedforward neural network design. Appl. Math. Comput. 205(2): 622-627 (2008) - [c3]Junfei Qiao, Honggui Han:
A new growing self-organizing neuron-fuzzy network with application to wastewater treatment. FUZZ-IEEE 2008: 525-530 - [c2]Junfei Qiao, Honggui Han, Xiaogang Ruan:
Research on Fuzzy Neural Network Based on Lyapunov Stability Theory and its Application. ICNSC 2008: 1279-1283 - [c1]Honggui Han, Junfei Qiao, Xinyuan Li:
Structure Automatic Change in Neural Network. ISNN (1) 2008: 762-775
Coauthor Index
aka: Jun-Fei Qiao

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