Motion Compensation Algorithm Based on Color Orientation Codes and Covariance Matching. - Xuguang Zhang; Weili Ding; Peifeng Niu (ICIRA (2), 2010)

Hybrid Neural Network Based on ART2 - BP Information Fusion Control in Circulating Fluidized Bed Boiler (CFBB). - Peifeng Niu; Yunfei Ma; Pengfei Li; Yang Zhang; Guoqiang Li 002; Xiangye Zhang (BICS, 2012)

Enhanced combination modeling method for combustion efficiency in coal-fired boilers. - Guoqiang Li 002; Peifeng Niu; Chao Liu; Weiping Zhang (Appl. Soft Comput., 2012)

Development and investigation of efficient artificial bee colony algorithm for numerical function optimization. - Guoqiang Li 002; Peifeng Niu; Xingjun Xiao (Appl. Soft Comput., 2012)

Model of turbine optimal initial pressure under off-design operation based on SVR and GA. - Peifeng Niu; Weiping Zhang (Neurocomputing, 2012)

Control of discrete chaotic systems based on echo state network modeling with an adaptive noise canceler. - Guoqiang Li 002; Peifeng Niu; Weiping Zhang; Yang Zhang (Knowl. Based Syst., 2012)

Corrigendum to "Development and investigation of efficient artificial bee colony algorithm for numerical function optimization" [Appl. Soft Comput. 12(2012) 320-332]. - Guoqiang Li 002; Peifeng Niu; Xingjun Xiao (Appl. Soft Comput., 2013)

Forecasting of turbine heat rate with online least squares support vector machine based on gravitational search algorithm. - Weiping Zhang; Peifeng Niu; Guoqiang Li 002; Pengfei Li (Knowl. Based Syst., 2013)

An enhanced extreme learning machine based on ridge regression for regression. - Guoqiang Li 002; Peifeng Niu (Neural Comput. Appl., 2013)

Hybrid neural network in circulating fluidized bed boiler based on information fusion clustering control. - Peifeng Niu; Yunfei Ma; Pengfei Li; Yang Zhang (Neural Comput. Appl., 2013)

Tuning extreme learning machine by an improved artificial bee colony to model and optimize the boiler efficiency. - Guoqiang Li 002; Peifeng Niu; Yunpeng Ma 001; Hongbin Wang; Weiping Zhang (Knowl. Based Syst., 2014)

Fast learning network: a novel artificial neural network with a fast learning speed. - Guoqiang Li 002; Peifeng Niu; Xiaolong Duan; Xiangye Zhang (Neural Comput. Appl., 2014)

Least Square Fast Learning Network for modeling the combustion efficiency of a 300WM coal-fired boiler. - Guoqiang Li 002; Peifeng Niu; Huaibao Wang; Yongchao Liu (Neural Networks, 2014)

Improved Teaching-Learning-Based Optimization algorithms for function optimization. - Xia Li; Peifeng Niu; Guoqiang Li 002; Jianping Liu; Huihui Hui (ICNC, 2015)

Optimized support vector regression model by improved gravitational search algorithm for flatness pattern recognition. - Peifeng Niu; Chao Liu; Pengfei Li; Guoqiang Li 002 (Neural Comput. Appl., 2015)

Exponential state estimation for Markovian jumping neural networks with mixed time-varying delays and discontinuous activation functions. - Huaiqin Wu; Leifei Wang; Yu Wang; Peifeng Niu; Bolin Fang (Int. J. Mach. Learn. Cybern., 2016)

A Kind of Parameters Self-adjusting Extreme Learning Machine. - Peifeng Niu; Yunpeng Ma 001; Mengning Li; Shanshan Yan; Guoqiang Li 002 (Neural Process. Lett., 2016)

Combustion optimization of a coal-fired boiler with double linear fast learning network. - Guoqiang Li 002; Peifeng Niu (Soft Comput., 2016)

Global projective synchronization in finite time of nonidentical fractional-order neural networks based on sliding mode control strategy. - Huaiqin Wu; Lifei Wang; Peifeng Niu; Yu Wang (Neurocomputing, 2017)

Research and application of quantum-inspired double parallel feed-forward neural network. - Yunpeng Ma 001; Peifeng Niu; Xinxin Zhang; Guoqiang Li 002 (Knowl. Based Syst., 2017)

Model turbine heat rate by fast learning network with tuning based on ameliorated krill herd algorithm. - Peifeng Niu; Ke Chen; Yunpeng Ma 001; Xia Li; Aling Liu; Guoqiang Li 002 (Knowl. Based Syst., 2017)

Quasi-uniform stability of Caputo-type fractional-order neural networks with mixed delay. - Huaiqin Wu; Xinxin Zhang; Shunhui Xue; Peifeng Niu (Int. J. Mach. Learn. Cybern., 2017)

Global Mittag-Leffler stability analysis of fractional-order impulsive neural networks with one-side Lipschitz condition. - Xinxin Zhang; Peifeng Niu; Yunpeng Ma 001; Yanqiao Wei; Guoqiang Li 002 (Neural Networks, 2017)

An Adaptive Extreme Learning Machine for Modeling NOx Emission of a 300 MW Circulating Fluidized Bed Boiler. - Xia Li; Peifeng Niu; Guoqiang Li 002; Jianping Liu (Neural Process. Lett., 2017)

A Hybrid Heat Rate Forecasting Model Using Optimized LSSVM Based on Improved GSA. - Chao Liu; Peifeng Niu; Guoqiang Li 002; Xia You; Yunpeng Ma 001; Weiping Zhang (Neural Process. Lett., 2017)

A modified online sequential extreme learning machine for building circulation fluidized bed boiler's NOx emission model. - Yunpeng Ma 001; Peifeng Niu; Shanshan Yan; Guoqiang Li 002 (Appl. Math. Comput., 2018)

Enhanced shuffled frog-leaping algorithm for solving numerical function optimization problems. - Chao Liu; Peifeng Niu; Guoqiang Li 002; Yunpeng Ma 001; Weiping Zhang; Ke Chen (J. Intell. Manuf., 2018)

Fast Learning Network with Parallel Layer Perceptrons. - Guoqiang Li 002; Xiaobin Qi; Bin Chen; Yunpeng Ma 001; Peifeng Niu; Zhiwang Chen (Neural Process. Lett., 2018)

Model NOx emission and thermal efficiency of CFBB based on an ameliorated extreme learning machine. - Peifeng Niu; Yunpeng Ma 001; Guoqiang Li 002 (Soft Comput., 2018)

A Dynamic Rectified Linear Activation Units. - Xiaobin Hu; Peifeng Niu; Jianmei Wang; Xinxin Zhang (IEEE Access, 2019)

Global quasi-synchronization and global anti-synchronization of delayed neural networks with discontinuous activations via non-fragile control strategy. - Xinxin Zhang; Peifeng Niu; Xiaobin Hu; Yunpeng Ma 001; Guoqiang Li 002 (Neurocomputing, 2019)

The defect of the Grey Wolf optimization algorithm and its verification method. - Peifeng Niu; Songpeng Niu; Nan Liu; Lingfang Chang (Knowl. Based Syst., 2019)

A modified teaching-learning-based optimization algorithm for numerical function optimization. - Peifeng Niu; Yunpeng Ma 001; Shanshan Yan (Int. J. Mach. Learn. Cybern., 2019)

A Novel Flower Pollination Algorithm for Modeling the Boiler Thermal Efficiency. - Peifeng Niu; Jinbai Li; Lingfang Chang; Xianchen Zhang; Rongyan Wang; Guoqiang Li 002 (Neural Process. Lett., 2019)

Least Square Parallel Extreme Learning Machine for Modeling NOx Emission of a 300MW Circulating Fluidized Bed Boiler. - Xia Li; Jianping Liu; Peifeng Niu (IEEE Access, 2020)

A generative adversarial neural network model for industrial boiler data repair. - Xiaobin Hu; Guoqiang Li 002; Peifeng Niu; Jianmei Wang; Linlin Zha (Appl. Soft Comput., 2021)