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Peifeng Niu
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2020 – today
- 2021
- [j33]Xiaobin Hu, Guoqiang Li, Peifeng Niu, Jianmei Wang
, Linlin Zha:
A generative adversarial neural network model for industrial boiler data repair. Appl. Soft Comput. 104: 107214 (2021) - 2020
- [j32]Xia Li, Jianping Liu
Least Square Parallel Extreme Learning Machine for Modeling NOx Emission of a 300MW Circulating Fluidized Bed Boiler. IEEE Access 8: 79619-79636 (2020)
2010 – 2019
- 2019
- [j31]Xiaobin Hu
A Dynamic Rectified Linear Activation Units. IEEE Access 7: 180409-180416 (2019) - [j30]Xinxin Zhang, Peifeng Niu, Xiaobin Hu
Global quasi-synchronization and global anti-synchronization of delayed neural networks with discontinuous activations via non-fragile control strategy. Neurocomputing 361: 1-9 (2019) - [j29]Peifeng Niu, Songpeng Niu, Nan Liu, Lingfang Chang:
The defect of the Grey Wolf optimization algorithm and its verification method. Knowl. Based Syst. 171: 37-43 (2019) - [j28]Peifeng Niu, Yunpeng Ma
A modified teaching-learning-based optimization algorithm for numerical function optimization. Int. J. Mach. Learn. Cybern. 10(6): 1357-1371 (2019) - [j27]Peifeng Niu, Jinbai Li
A Novel Flower Pollination Algorithm for Modeling the Boiler Thermal Efficiency. Neural Process. Lett. 49(2): 737-759 (2019) - 2018
- [j26]Yunpeng Ma, Peifeng Niu, Shanshan Yan, Guoqiang Li:
A modified online sequential extreme learning machine for building circulation fluidized bed boiler's NOx emission model. Appl. Math. Comput. 334: 214-226 (2018) - [j25]Chao Liu, Peifeng Niu, Guoqiang Li, Yunpeng Ma, Weiping Zhang, Ke Chen
Enhanced shuffled frog-leaping algorithm for solving numerical function optimization problems. J. Intell. Manuf. 29(5): 1133-1153 (2018) - [j24]Guoqiang Li, Xiaobin Qi, Bin Chen, Yunpeng Ma, Peifeng Niu, Zhiwang Chen:
Fast Learning Network with Parallel Layer Perceptrons. Neural Process. Lett. 47(2): 549-564 (2018) - [j23]Peifeng Niu, Yunpeng Ma, Guoqiang Li:
Model NOx emission and thermal efficiency of CFBB based on an ameliorated extreme learning machine. Soft Comput. 22(14): 4685-4701 (2018) - 2017
- [j22]Huaiqin Wu, Lifei Wang, Peifeng Niu, Yu Wang:
Global projective synchronization in finite time of nonidentical fractional-order neural networks based on sliding mode control strategy. Neurocomputing 235: 264-273 (2017) - [j21]Peifeng Niu, Ke Chen
Model turbine heat rate by fast learning network with tuning based on ameliorated krill herd algorithm. Knowl. Based Syst. 118: 80-92 (2017) - [j20]Yunpeng Ma, Peifeng Niu, Xinxin Zhang, Guoqiang Li:
Research and application of quantum-inspired double parallel feed-forward neural network. Knowl. Based Syst. 136: 140-149 (2017) - [j19]Huaiqin Wu, Xinxin Zhang, Shunhui Xue, Peifeng Niu:
Quasi-uniform stability of Caputo-type fractional-order neural networks with mixed delay. Int. J. Mach. Learn. Cybern. 8(5): 1501-1511 (2017) - [j18]Xinxin Zhang, Peifeng Niu, Yunpeng Ma, Yanqiao Wei, Guoqiang Li:
Global Mittag-Leffler stability analysis of fractional-order impulsive neural networks with one-side Lipschitz condition. Neural Networks 94: 67-75 (2017) - [j17]Chao Liu, Peifeng Niu, Guoqiang Li, Xia You, Yunpeng Ma, Weiping Zhang:
A Hybrid Heat Rate Forecasting Model Using Optimized LSSVM Based on Improved GSA. Neural Process. Lett. 45(1): 299-318 (2017) - [j16]Xia Li, Peifeng Niu, Guoqiang Li, Jianping Liu:
An Adaptive Extreme Learning Machine for Modeling NOx Emission of a 300 MW Circulating Fluidized Bed Boiler. Neural Process. Lett. 46(2): 643-662 (2017) - 2016
- [j15]Huaiqin Wu, Leifei Wang, Yu Wang, Peifeng Niu, Bolin Fang:
Exponential state estimation for Markovian jumping neural networks with mixed time-varying delays and discontinuous activation functions. Int. J. Mach. Learn. Cybern. 7(4): 641-652 (2016) - [j14]Peifeng Niu, Yunpeng Ma, Mengning Li, Shanshan Yan, Guoqiang Li:
A Kind of Parameters Self-adjusting Extreme Learning Machine. Neural Process. Lett. 44(3): 813-830 (2016) - [j13]Guoqiang Li, Peifeng Niu:
Combustion optimization of a coal-fired boiler with double linear fast learning network. Soft Comput. 20(1): 149-156 (2016) - 2015
- [j12]Peifeng Niu, Chao Liu, Pengfei Li, Guoqiang Li:
Optimized support vector regression model by improved gravitational search algorithm for flatness pattern recognition. Neural Comput. Appl. 26(5): 1167-1177 (2015) - [c3]Xia Li, Peifeng Niu, Guoqiang Li, Jianping Liu, Huihui Hui:
Improved Teaching-Learning-Based Optimization algorithms for function optimization. ICNC 2015: 485-491 - 2014
- [j11]Guoqiang Li, Peifeng Niu, Yunpeng Ma, Hongbin Wang, Weiping Zhang:
Tuning extreme learning machine by an improved artificial bee colony to model and optimize the boiler efficiency. Knowl. Based Syst. 67: 278-289 (2014) - [j10]Guoqiang Li, Peifeng Niu, Xiaolong Duan, Xiangye Zhang:
Fast learning network: a novel artificial neural network with a fast learning speed. Neural Comput. Appl. 24(7-8): 1683-1695 (2014) - [j9]Guoqiang Li, Peifeng Niu, Huaibao Wang, Yongchao Liu:
Least Square Fast Learning Network for modeling the combustion efficiency of a 300WM coal-fired boiler. Neural Networks 51: 57-66 (2014) - 2013
- [j8]Guoqiang Li, Peifeng Niu, Xingjun Xiao:
Corrigendum to "Development and investigation of efficient artificial bee colony algorithm for numerical function optimization" [Appl. Soft Comput. 12(2012) 320-332]. Appl. Soft Comput. 13(4): 2143 (2013) - [j7]Weiping Zhang, Peifeng Niu, Guoqiang Li, Pengfei Li:
Forecasting of turbine heat rate with online least squares support vector machine based on gravitational search algorithm. Knowl. Based Syst. 39: 34-44 (2013) - [j6]Guoqiang Li, Peifeng Niu:
An enhanced extreme learning machine based on ridge regression for regression. Neural Comput. Appl. 22(3-4): 803-810 (2013) - [j5]Peifeng Niu, Yunfei Ma, Pengfei Li, Yang Zhang:
Hybrid neural network in circulating fluidized bed boiler based on information fusion clustering control. Neural Comput. Appl. 23(7-8): 1949-1962 (2013) - 2012
- [j4]Guoqiang Li, Peifeng Niu, Xingjun Xiao:
Development and investigation of efficient artificial bee colony algorithm for numerical function optimization. Appl. Soft Comput. 12(1): 320-332 (2012) - [j3]Guoqiang Li, Peifeng Niu, Chao Liu, Weiping Zhang:
Enhanced combination modeling method for combustion efficiency in coal-fired boilers. Appl. Soft Comput. 12(10): 3132-3140 (2012) - [j2]Peifeng Niu, Weiping Zhang:
Model of turbine optimal initial pressure under off-design operation based on SVR and GA. Neurocomputing 78(1): 64-71 (2012) - [j1]Guoqiang Li, Peifeng Niu, Weiping Zhang, Yang Zhang:
Control of discrete chaotic systems based on echo state network modeling with an adaptive noise canceler. Knowl. Based Syst. 35: 35-40 (2012) - [c2]Peifeng Niu, Yunfei Ma, Pengfei Li, Yang Zhang, Guoqiang Li, Xiangye Zhang:
Hybrid Neural Network Based on ART2 - BP Information Fusion Control in Circulating Fluidized Bed Boiler (CFBB). BICS 2012: 278-287 - 2010
- [c1]Xuguang Zhang, Weili Ding, Peifeng Niu:
Motion Compensation Algorithm Based on Color Orientation Codes and Covariance Matching. ICIRA (2) 2010: 368-377
Coauthor Index
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