Peifeng Niu

According to our database, Peifeng Niu authored at least 36 papers between 2010 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

A generative adversarial neural network model for industrial boiler data repair.

Xiaobin Hu, Guoqiang Li, Peifeng Niu, Jianmei Wang, Linlin Zha

Appl. Soft Comput., 2021

2020

Least Square Parallel Extreme Learning Machine for Modeling NO_x Emission of a 300MW Circulating Fluidized Bed Boiler.

Xia Li, Jianping Liu, Peifeng Niu

IEEE Access, 2020

2019

A Novel Flower Pollination Algorithm for Modeling the Boiler Thermal Efficiency.

Peifeng Niu, Jinbai Li, Lingfang Chang, Xianchen Zhang, Rongyan Wang, Guoqiang Li

Neural Process. Lett., 2019

A modified teaching-learning-based optimization algorithm for numerical function optimization.

Peifeng Niu, Yunpeng Ma, Shanshan Yan

Int. J. Mach. Learn. Cybern., 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

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, Guoqiang Li

Neurocomputing, 2019

A Dynamic Rectified Linear Activation Units.

Xiaobin Hu, Peifeng Niu, Jianmei Wang, Xinxin Zhang

IEEE Access, 2019

2018

Model NOx emission and thermal efficiency of CFBB based on an ameliorated extreme learning machine.

Peifeng Niu, Yunpeng Ma, Guoqiang Li

Soft Comput., 2018

Fast Learning Network with Parallel Layer Perceptrons.

Guoqiang Li, Xiaobin Qi, Bin Chen, Yunpeng Ma, Peifeng Niu, Zhiwang Chen

Neural Process. Lett., 2018

Enhanced shuffled frog-leaping algorithm for solving numerical function optimization problems.

Chao Liu, Peifeng Niu, Guoqiang Li, Yunpeng Ma, Weiping Zhang, Ke Chen

J. Intell. Manuf., 2018

A modified online sequential extreme learning machine for building circulation fluidized bed boiler's NOx emission model.

Yunpeng Ma, Peifeng Niu, Shanshan Yan, Guoqiang Li

Appl. Math. Comput., 2018

2017

A Hybrid Heat Rate Forecasting Model Using Optimized LSSVM Based on Improved GSA.

Chao Liu, Peifeng Niu, Guoqiang Li, Xia You, Yunpeng Ma, Weiping Zhang

Neural Process. Lett., 2017

An Adaptive Extreme Learning Machine for Modeling NOx Emission of a 300 MW Circulating Fluidized Bed Boiler.

Xia Li, Peifeng Niu, Guoqiang Li, Jianping Liu

Neural Process. Lett., 2017

Global Mittag-Leffler stability analysis of fractional-order impulsive neural networks with one-side Lipschitz condition.

Xinxin Zhang, Peifeng Niu, Yunpeng Ma, Yanqiao Wei, Guoqiang Li

Neural Networks, 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

Model turbine heat rate by fast learning network with tuning based on ameliorated krill herd algorithm.

Peifeng Niu, Ke Chen, Yunpeng Ma, Xia Li, Aling Liu, Guoqiang Li

Knowl. Based Syst., 2017

Research and application of quantum-inspired double parallel feed-forward neural network.

Yunpeng Ma, Peifeng Niu, Xinxin Zhang, Guoqiang Li

Knowl. Based Syst., 2017

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

2016

Combustion optimization of a coal-fired boiler with double linear fast learning network.

Guoqiang Li, Peifeng Niu

Soft Comput., 2016

A Kind of Parameters Self-adjusting Extreme Learning Machine.

Peifeng Niu, Yunpeng Ma, Mengning Li, Shanshan Yan, Guoqiang Li

Neural Process. Lett., 2016

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

2015

Optimized support vector regression model by improved gravitational search algorithm for flatness pattern recognition.

Peifeng Niu, Chao Liu, Pengfei Li, Guoqiang Li

Neural Comput. Appl., 2015

Improved Teaching-Learning-Based Optimization algorithms for function optimization.

Xia Li, Peifeng Niu, Guoqiang Li, Jianping Liu, Huihui Hui

Proceedings of the 11th International Conference on Natural Computation, 2015

2014

Least Square Fast Learning Network for modeling the combustion efficiency of a 300WM coal-fired boiler.

Guoqiang Li, Peifeng Niu, Huaibao Wang, Yongchao Liu

Neural Networks, 2014

Fast learning network: a novel artificial neural network with a fast learning speed.

Guoqiang Li, Peifeng Niu, Xiaolong Duan, Xiangye Zhang

Neural Comput. Appl., 2014

Tuning extreme learning machine by an improved artificial bee colony to model and optimize the boiler efficiency.

Guoqiang Li, Peifeng Niu, Yunpeng Ma, Hongbin Wang, Weiping Zhang

Knowl. Based Syst., 2014

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

An enhanced extreme learning machine based on ridge regression for regression.

Guoqiang Li, Peifeng Niu

Neural Comput. Appl., 2013

Forecasting of turbine heat rate with online least squares support vector machine based on gravitational search algorithm.

Weiping Zhang, Peifeng Niu, Guoqiang Li, Pengfei Li

Knowl. Based Syst., 2013

Corrigendum to "Development and investigation of efficient artificial bee colony algorithm for numerical function optimization" [Appl. Soft Comput. 12(2012) 320-332].

Guoqiang Li, Peifeng Niu, Xingjun Xiao

Appl. Soft Comput., 2013

2012

Control of discrete chaotic systems based on echo state network modeling with an adaptive noise canceler.

Guoqiang Li, Peifeng Niu, Weiping Zhang, Yang Zhang

Knowl. Based Syst., 2012

Model of turbine optimal initial pressure under off-design operation based on SVR and GA.

Peifeng Niu, Weiping Zhang

Neurocomputing, 2012

Development and investigation of efficient artificial bee colony algorithm for numerical function optimization.

Guoqiang Li, Peifeng Niu, Xingjun Xiao

Appl. Soft Comput., 2012

Enhanced combination modeling method for combustion efficiency in coal-fired boilers.

Guoqiang Li, Peifeng Niu, Chao Liu, Weiping Zhang

Appl. Soft Comput., 2012

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, Xiangye Zhang

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2012

2010

Motion Compensation Algorithm Based on Color Orientation Codes and Covariance Matching.

Xuguang Zhang, Weili Ding, Peifeng Niu

Proceedings of the Intelligent Robotics and Applications - Third International Conference, 2010