[1] 薛改凤, 项茹, 陈鹏, 等. 炼焦煤质量指标评价体系的研究[J]. 武汉科技大学学报, 2009, 32(1):36-40. XUE Gai-feng, XIANG Ru, CHEN Peng, et al.Index System for Evaluating the Quality of Coking Coal[J]. Journal of Wuhan University of Science and Technology, 2009, 32(1): 36-40. [2] 邓志平, 张代林. 优化配煤及焦炭质量的研究探讨[J]. 江西冶金, 2014, 34(4): 1-3. DENG Zhi-ping, ZHANG Dai-lin.Study on Optimization of Coal Blending and Coke Quality[J]. Jiangxi Metallurgy, 2014, 34(4): 1-3. [3] 于青, 王德全, 吴子良, 等. 焦炭反应性和反应后强度的关系及其影响因素研究[J]. 中国冶金, 2012, 22(3): 10-14. YU Qing, WANG De-quan, WU Zi-liang, et al.Relationship Between Coke Reactivity and Strength Affer Reaction and Research of Influence Factor[J]. China Metallurgy, 2012, 22(3): 10-14. [4] 曹密静, 王胜春, 贾万福. 焦炭灰分与硫分的预测[J]. 燃料与化工, 2012, 43(5): 14-16. CAO Mi-jing, WANG Sheng-chun, JIA Wan-fu.Prediction for Ash and Sulfur Content of Coke[J]. Fuel & Chemical Processes, 2012, 43(5): 14-16. [5] 刘颖义, 穆红旺, 张淑会. 焦炭质量预测模型的建立[J]. 中国冶金, 2012, 22(1): 28-31. LIU Ying-yi, MU Hong-wang, ZHANG Shu-hui.Establish of Prediction Mode of Coke Quality[J]. China Metallurgy, 2012, 22(1): 28-31. [6] 谢海深, 刘永新, 孟军波, 等. 焦炭质量预测模型的研究[J]. 煤炭转化, 2006, 29(3): 54-57. XIE Hai-shen, LIU Yong-xin, MENG Jun-bo, et al.Study on The Predictive Model for Coke Quality[J]. Coal Conversion, 2006, 29(3): 54-57. [7] 刘俊, 张学东, 刘宏, 等. 基于BP神经网络的焦炭质量预测[J]. 燃料与化工, 2006, 37(6): 12-15. LIU Jun, ZHANG Xue-dong, LIU Hong, et al.Prediction of Coke Quality Based on BP Neural Network[J]. Fuel & Chemical Processes, 2006, 37(6): 12-15. [8] 雷琪, 刘君贤, 何勇, 等. 基于PCA与RBF的焦炭质量预测模型[J]. 控制工程, 2010, 17(4): 513-520. LEI Qi, LIU Jun-xian, HE Yong, et al.A Prediction Mode for Coke Quality Based on PCA and RBF[J]. Control Engineering of China, 2010, 17(4): 513-520. [9] 覃光华, 李祚泳. BP网络过拟合问题研究及其应用[J].武汉科技大学学报, 2006, 39(6): 55-58. QIN Guang-hua, LI Zuo-yong.Over-fitting of BP NN Research and Its Application[J]. Engineering Journal of Wuhan University, 2006, 39(6): 55-58. [10] 田英奇, 张卫华, 沈寓韬, 等. 镜质组反射率指导优化配煤炼焦方案的研究[J]. 煤炭科学技术, 2016, 44(4): 162-168. TIAN Ying-qi,ZHANG Wei-hua,SHEN Yu-tao,et al.Research on optimization of coal blending coking guided by vitrinite reflectance[J]. Coal Science and Technology, 2016, 44(4): 162-168. [11] 周洪, 闵礼书, 邹祥林. 基于神经网络的特大型焦炉焦炭质量预测研究[J]. 系统仿真学报, 2009, 21(6): 1543-1552. ZHOU Hong, MIN Li-shu, ZOU Xiang-lin.Research on Prediction of Blended Coal for Coking Quality in Oversized Coke Furnace Based on Neural Network[J]. Journal of System Simulation, 2009, 21(6): 1543-1552. [12] 贺毅朝, 王熙照, 刘坤起. 差分算法演义的收敛性分析与算法改进[J]. 软件学报, 2010, 21(5): 875-885. HE Yi-chao, WANG Xi-zhao, LIU Kun-qi.Convergent Analysis and Algorithmic Improvement of Differential Evolution[J]. Journal of Software, 2010, 21(5): 875-885. [13] 汪慎文, 丁立新, 张文生, 等. 差分进化算法研究进展[J]. 武汉大学学报(理学版), 2014, 60(4): 283-292. WANG Shen-wen, DING Li-xin, ZHANG Wen-sheng, et al.Survey of Differential Evolution[J]. Journal of Wuhan University (Natural Science Edition), 2014, 60(4): 283-291. [14] Das S, Suganthan P N.Differentia Evolution: A Survey of the State-of-the-Art[J]. IEEE Trans. Evolut. Comput.(S1089-778X), 2011, 15(1): 4-31. [15] Li Gaoyang, Liu Mingguang.The Summary of Differential Evolution Algorithm and its Improvements[C]// 2010 3rdInternational Conference on Advanced Computer Theory and Engineering (ICACTE), Chengdu, China. 2010: 153-156. |