Wei Hangyu (魏航宇). Analysis and practice of utilization rate of No.5 BF gas//Practical New Technology and Equipment of Efficient Ironmaking and Raw Material [C]. Hangzhou, 2013: 87-90
[2]
Han Min (韩敏), Liu Xiaoxin (刘晓欣). An extreme learning machine algorithm based on mutual information variable selection [J]. Control and Decision (控制与决策), 2014, 29 (9): 1576-1580
[3]
Gao Chuanhou (郜传厚), Jian Ling (渐令), Chen Jiming (陈积明), Sun Youxian (孙优贤). Data-driven modeling and predictive algorithm for complex blast furnace ironmaking process [J]. Acta Automatica Sinic (自动化学报), 2009, 35 (6): 725-730
[4]
Zeng Jiusun (曾九孙), Liu Xiangguan (刘祥官), Luo Shihua (罗世华), et al. Application of principal component regression and partial least square in blast furnace iron-making [J]. Journal of Zhejiang University: Sciences Edition (浙江大学学报: 理学版), 2009, 36 (1): 33-36
[5]
Madadi Z, Anand G V, Premkummar A B. Signal detection in generalizaed Gaussian noise by nonlinear wavelet denoising [J]. IEEE Transactions on Circuits and Systems, 2013, 60 (11): 2973-2986
[6]
Shi Jie, Ding Zhaohao, Lee Wei-Jen. Hybrid forecasting model for very-short termwind power forecasting based on grey relational analysis and wind speed distribution features [J]. IEEE Transactions on Smart Grid, 2014, 5 (1): 521-526
[7]
Wang Zhanneng (王占能), Xu Zuhua (徐祖华), Zhao Jun (赵均), Shao Zhijiang (邵之江). Coal-fired power plant boiler combustion process modeling based on support vector machine and load data division [J]. CIESC Journal (化工学报), 2013, 64 (12): 4496-4502
[8]
Zhou You (周游), Zhao Chengye (赵成业), Liu Xinggao (刘兴高). An iteratively adaptive particle swarm optimization approach for solving chemical dynamic optimization problems [J]. CIESC Journal (化工学报), 2014, 65 (4): 1296-1302
[9]
Zhan Zhihui, Zhang Jun, Li Yun. Adaptive particle swarm optimization [J]. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, 2009, 39 (6): 1362-1381
[10]
Pan Hao (潘昊), Yu Haibin (于海滨), Fan Mingzhe (苑明哲). Modeling and analysis of energy using efficiency of the blast furnace [J]. Manufacturing Automation (制造业自动化), 2011, 33 (23): 142-144
[11]
Liu Hui (刘慧), Li Peiran (李沛然), Bao Zhejing (包哲静). Intelligent predictive modeling of blast furnace system [J]. Journal of Central South University: Science and Technology (中南大学学报:自然科学版), 2012, 43 (5): 1787-1794
[12]
Fan Zhigang (范志刚), Qiu Guibao (邱贵宝), Jia Juanyu (贾娟鱼). Method to predict the coke rate based on BP neural network [J]. Journal of Chongqing University: Science and Technology (重庆大学学报:自然科学版), 2002, 25 (6): 85-91
[13]
Chen Tiejun (陈铁军), Chen Huafang (陈华方). Research on coke ratio and temperature control algorithm in puddling based on chain system [J]. Control and Instruments in Chemical Industry (化工自动化及仪表), 2010, 37 (4): 26-28
[14]
Chi Yanbin, Yang Shuangping, Dong Jie. Research on technology of blast furnace optimization of operation principle [J]. Advanced Materials Research, 2012, 516/517: 401-403
[15]
Zhou Chuandian (周传典). Blast Furnace Ironmaking Production of Technical Manual (高炉炼铁生产技术手册)[M]. Beijing: Metallurgical Industry Press, 2005: 174-177
[16]
Lahm A H. Calculation and Analysis of Modern Blast Furnace Process (现代高炉过程的计算分析)[M]. Wang Xiaoliu (王筱留), trans.Beijing: Metallurgical Industry Press, 1987: 266-289
[17]
Na Shuren (那树人). Ironmaking Calculation Analysis (炼铁计算辨析)[M]. Beijing: Metallurgical Industry Press, 2010:161-199
[18]
Xiang Zhongyong (项钟庸), Wang Xiaoliu (王筱留), Yin Han (银汉). More discussion on evaluation method for productive efficiency of ironmaking blast furnace [J]. Iron and Steel, 2013, 48 (3): 86-91
[19]
Hu Zhenggang (胡正刚). Strategy for improvement in utilization rate of No.5 BF gas in WISCO and its practice [J]. Wisco Technology (武钢技术), 2012, 50 (2): 8-11
[20]
Gao Chuanhou, Jian Ling, Luo Shihua. Modeling of the thermal state change of blast furnace hearth with support vector machines [J]. IEEE Transactions on Industrial Electronics, 2012, 50 (4): 725-730
[21]
Gao Chuanhou, Jian Ling, Liu Xueyi, Chen Jiming, Sun Youxian. Data-driven modeling based on volterra series for multidimensional blast furnace system [J]. IEEE Transactions on Neural Networks, 2011, 22 (12): 2272-2283