Peifeng Niu

Publication Activity (10 Years)

Years Active: 2010-2021
Publications (10 Years): 21

Top Topics

Support Vector Regression

Function Optimization

Top Venues

Knowl. Based Syst.

Neural Process. Lett.

Neural Comput. Appl.

Appl. Soft Comput.

Publications

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 (2021)
Xia Li, Jianping Liu, Peifeng Niu
Emission of a 300MW Circulating Fluidized Bed Boiler. IEEE Access 8 (2020)
Xiaobin Hu, Peifeng Niu, Jianmei Wang, Xinxin Zhang
A Dynamic Rectified Linear Activation Units. IEEE Access 7 (2019)
Peifeng Niu, Yunpeng Ma, Shanshan Yan
A modified teaching-learning-based optimization algorithm for numerical function optimization. Int. J. Mach. Learn. Cybern. 10 (6) (2019)
Xinxin Zhang, Peifeng Niu, Xiaobin Hu, Yunpeng Ma, Guoqiang Li
Global quasi-synchronization and global anti-synchronization of delayed neural networks with discontinuous activations via non-fragile control strategy. Neurocomputing 361 (2019)
Peifeng Niu, Jinbai Li, Lingfang Chang, Xianchen Zhang, Rongyan Wang, Guoqiang Li
A Novel Flower Pollination Algorithm for Modeling the Boiler Thermal Efficiency. Neural Process. Lett. 49 (2) (2019)
Peifeng Niu, Songpeng Niu, Nan Liu, Lingfang Chang
The defect of the Grey Wolf optimization algorithm and its verification method. Knowl. Based Syst. 171 (2019)
Guoqiang Li, Xiaobin Qi, Bin Chen, Yunpeng Ma, Peifeng Niu, Zhiwang Chen
Fast Learning Network with Parallel Layer Perceptrons. Neural Process. Lett. 47 (2) (2018)
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) (2018)
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) (2018)
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 (2018)
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) (2017)
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 (2017)
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) (2017)
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) (2017)
Peifeng Niu, Ke Chen, Yunpeng Ma, Xia Li, Aling Liu, Guoqiang Li
Model turbine heat rate by fast learning network with tuning based on ameliorated krill herd algorithm. Knowl. Based Syst. 118 (2017)
Yunpeng Ma, Peifeng Niu, Xinxin Zhang, Guoqiang Li
Research and application of quantum-inspired double parallel feed-forward neural network. Knowl. Based Syst. 136 (2017)
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 (2017)
Guoqiang Li, Peifeng Niu
Combustion optimization of a coal-fired boiler with double linear fast learning network. Soft Comput. 20 (1) (2016)
Peifeng Niu, Yunpeng Ma, Mengning Li, Shanshan Yan, Guoqiang Li
A Kind of Parameters Self-adjusting Extreme Learning Machine. Neural Process. Lett. 44 (3) (2016)
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) (2016)
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) (2015)
Xia Li, Peifeng Niu, Guoqiang Li, Jianping Liu, Huihui Hui
Improved Teaching-Learning-Based Optimization algorithms for function optimization. ICNC (2015)
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 (2014)
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) (2014)
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 (2014)
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) (2013)
Guoqiang Li, Peifeng Niu
An enhanced extreme learning machine based on ridge regression for regression. Neural Comput. Appl. 22 (3-4) (2013)
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 (2013)
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) (2013)
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 (2012)
Peifeng Niu, Weiping Zhang
Model of turbine optimal initial pressure under off-design operation based on SVR and GA. Neurocomputing 78 (1) (2012)
Guoqiang Li, Peifeng Niu, Chao Liu, Weiping Zhang
Enhanced combination modeling method for combustion efficiency in coal-fired boilers. Appl. Soft Comput. 12 (10) (2012)
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)
Guoqiang Li, Peifeng Niu, Xingjun Xiao
Development and investigation of efficient artificial bee colony algorithm for numerical function optimization. Appl. Soft Comput. 12 (1) (2012)
Xuguang Zhang, Weili Ding, Peifeng Niu
Motion Compensation Algorithm Based on Color Orientation Codes and Covariance Matching. ICIRA (2) (2010)