[1] Higgins D R, Gray N B, Davidson M R. Simulating particle agglomeration in the flash smelting reaction shaft[J]. Minerals Engineering, 2009, 22(14): 1251-1265.
[2] Gui W H, Wang L Y, Yang C H, et al. Intelligent prediction model of matte grade in copper flash smelting process[J]. Transactions of Nonferrous Metals Society of China, 2007, 17(5): 1075-1081.
[3] Sanchez-Corrales V M, Valera-Gonzalez J A, Perez-Tello M, et al. Mass balance calculations in copper flash smelting by means of genetic algorithms[J]. JOM Journal of the Minerals, Metals and Materials Society, 2004, 56(12): 29-32.
[4] 喻寿益, 王吉林, 彭晓波. 基于神经网络的铜闪速熔炼过程工艺参数预测模型[J]. 中南大学学报:自然科学版, 2007, 38(3): 523-527.Yu S Y, Wang J L, Peng X B. Prediction model of craft parameters based on neural network during the process of copper flash smelting[J]. Journal of Central South University: Science and Technology, 2007, 38(3): 523-527.
[5] Peng X B, Gui W H, Li Y G, et al. Operational pattern optimization for copper flash smelting process based on pattern decomposition of fuzzy neural networks[C]// 2007 IEEE International Conference on Control and Automation, Guangzhou, China, May 30-June 1, 2007: 2328-2333.
[6] 桂卫华, 阳春华, 李勇刚, 等. 基于数据驱动的铜闪速熔炼过程操作模式优化及应用[J]. 自动化学报, 2009, 35(6): 717-724.Gui W H, Yang C H, Li Y G, et al. Data-driven operational pattern optimization for copper flash smelting process[J]. Acta Automatica Sinica, 2009, 35(6): 717-724.
[7] Bian F P, Cui L Y, Lessner L. DEA-based anti-HIV immunotherapy model[J]. Progress in Natural Science, 2004, 14(9): 828-832.
[8] 柴天佑. 生产制造全流程优化控制对控制与优化理论方法的挑战[J]. 自动化学报, 2009, 35(6): 641-649.Chai T Y. Challenges of optimal control for plant-wide production processes in terms of control and optimization theories[J]. Acta Automatica Sinica, 2009, 35(6): 641-649.
[9] Tang M Z, Yang C H, Gui W H, et al. Data-based process fault detection using active cost-sensitive learning[C]// 2010 the 2nd International Conference on Information Science and Engineering, Hangzhou, China, Dec 4-6, 2010: 1110-1113.
[10] 唐明珠, 阳春华, 桂卫华, 等. 代价敏感概率神经网络及其在故障诊断中的应用[J]. 控制与决策, 2010, 25(7): 1074-1078.Tang M Z, Yang C H, Gui W H, et al. Cost-sensitive probabilistic neural network with its application in fault diagnosis[J]. Control and Decision, 2010, 25(7): 1074-1078.
[11] 金菊良, 杨晓华, 丁晶. 标准遗传算法的改进方案-加速遗传算法[J]. 系统工程理论与实践, 2001, 21(4): 8-13.Jin J L, Yang X H, Ding J. An improved simple genetic algorithm-Accelerating genetic algorithm[J]. Systems Engineering-Theory & Practice, 2001, 21(4): 8-13.
[12] 胡志坤, 桂卫华, 阳春华, 等. 铜转炉吹炼过程熔剂加入量的模糊操作模式挖掘方法[J]. 控制与决策, 2010, 25(11): 1689-1692.Hu Z K, Gui W H, Yang C H, et al. A mining method for fuzzy operational patterns of the amount of flux in the process of copper converter[J]. Control and Decision, 2010, 25(11): 1689-1692.
[13] Qi X N, Liu Z Y, Li D D. Prediction of the performance of a shower cooling tower based on projection pursuit regression[J]. Applied Thermal Engineering, 2008, 28(8-9): 1031-1038.
[14] Hwang J N, Lay S R, Maechler M, et al. Regression modeling in back-propagation and projection pursuit learning[J]. IEEE Transactions on Neural Networks, 1994, 5(3): 342-353.
[15] 张欣莉, 丁晶. 参数投影寻踪回归及其在年径流预测中的应用[J]. 四川大学学报:工程科学版, 2000, 32(3): 13-15.Zhang X L, Ding J. Parametric projection pursuit regression and its application in prediction year-runoff[J]. Journal of Sichuan University: Engineering Science Edition, 2000, 32(3): 13-15.