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)

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)

A Probability-Based Object Tracking Method. - Xu Song; Guoqiang Li 002; Ying Li 017; Yanning Zhang 001 (IScIDE, 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 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)

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)

Cooperative spectrum sensing based on an efficient adaptive artificial bee colony algorithm. - Xinbin Li; Lu Lu; Lei Liu; Guoqiang Li 002; Xinping Guan (Soft Comput., 2015)

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)

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)

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)

Resource allocation for smart grid communication based on a multi-swarm artificial bee colony algorithm with cooperative learning. - Kai Ma 001; Xuemei Liu; Guoqiang Li 002; Shubing Hu; Jie Yang 024; Xinping Guan (Eng. Appl. Artif. Intell., 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)

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)

Circular convolution parallel extreme learning machine for modeling boiler efficiency for a 300 MW CFBB. - Guoqiang Li 002; Bin Chen; Xiaobin Qi; Lu Zhang (Soft Comput., 2019)

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)

A robust double-parallel extreme learning machine based on an improved M-estimation algorithm. - Linlin Zha; Kai Ma 001; Guoqiang Li 002; Qi Fang; Xiaobin Hu (Adv. Eng. Informatics, 2022)

An improved extreme learning machine with self-recurrent hidden layer. - Linlin Zha; Kai Ma 001; Guoqiang Li 002; Jie Yang 024; Qi Fang (Adv. Eng. Informatics, 2022)

An outstanding adaptive multi-feature fusion YOLOv3 algorithm for the small target detection in remote sensing images. - Guoqiang Li 002; Xinyu Hao; Linlin Zha; Anbang Chen (Pattern Anal. Appl., 2022)

HAM: Hybrid attention module in deep convolutional neural networks for image classification. - Guoqiang Li 002; Qi Fang; Linlin Zha; Xin Gao; Nenggan Zheng (Pattern Recognit., 2022)

DDFP: A data driven filter pruning method with pruning compensation. - Guoqiang Li 002; Bowen Liu; Anbang Chen (J. Vis. Commun. Image Represent., 2023)

Multiple sparse spaces network pruning via a joint similarity criterion. - Guoqiang Li 002; Anbang Chen; Bowen Liu (Int. J. Mach. Learn. Cybern., 2023)