[1]王淑云,李惠曲,东赟鹏,等. 大型模锻件和模锻液压机与航空锻压技术[J]. 锻压装备与制造技术, 2009, 44(5):31-34.
Wang Shuyun, Li Huiqu, Dong Yunpeng, et al. Development of Large Single-piece Forgings and Heavy Forging Press in Aerospace Forging Industry[J]. China Metalforming Equipment and Manufacturing Technology, 2009,44(5):31-34.
[2]李蓬川. 大型航空模锻件的生产现状及发展趋势[J]. 大型铸锻件, 2011(2):39-34.
Li Pengchuan. Production Status and Development Trend of Heavy Aviation Die Forging[J]. Heavy Casting and Forging, 2011(2): 39-34.
[3]杨家旺. 大型模锻压机运行在线建模及动态特性研究[D]. 长沙:中南大学,2013.
[4]王军生,赵启林,矫志杰,等. 冷连轧过程控制变形抗力模型的自适应学习[J]. 东北大学学报(自然科学版), 2004, 25(10): 973-976.
Wang Junsheng, Zhao Qilin, Jiao Zhijie, et al. Adaptive Learning of the Model of Deformation Resistance Model for Tandem Cold Rolling Process Control[J]. Journal of Northeastern University (Natural Science), 2004,25(10):973-976.
[5]张猛. 极低速下大型模锻压机系统建模与动态特性分析[D]. 长沙:中南大学,2012.
[6]马璟,陈拂晓. 齿轮钢20CrMnTi在1000℃时的变形抗力数学模型[J]. 材料热处理技术,2012,41(4):49-50.
Ma Jing, Chen Fuxiao. Deformation Resistance Model for Gear Steel 20CrMnTi at 1000℃[J]. Material and Heat Treatment, 2012, 41(4) : 49-50.
[7]刘战英,冯运莉,田薇,等. 45钢低温轧制的变形抗力模型[J]. 轧钢, 2004, 21(1): 12-14.
Liu Zhanying, Feng Yunli, Tian Wei, et al. Model of Deformation Resistance of 45 Steel in Low Temperature Rolling[J]. Steel Rolling, 2004,21(1):12-14.
[8]黄克坚,包忠诩,陈泽中,等. 关于挤压变形规律理论研究方法的一些探讨[J].塑性工程学报, 2003, 10(4): 45-51.
Huang Kejian, Bao Zhongxu, Chen Zezhong, et al. The Discussion of the Theoretical Research Methods Used in the Analysis of Extrusion Forming Laws[J]. Journal of Plasticity Engineering, 2003, 10(4): 45-51.
[9]Lu X J, Li Y B, Huang M H. Operation-region-decomposition-based SVD/NN Modeling Method for Complex Hydraulic Press Machines[J]. Industrial and Engineering Chemistry Research, 2013,52:17221-17228.
[10]林治平. 锻压变形力的工程计算[M]. 北京:机械工业出版社,1986.
[11]Huang G B, Zhu Q Y, Siew C K. Extreme Learning Machine: Theory and Applications[J]. Neurocomputing, 2006, 70(3):489-501.
[12]Huang G B, Chen L, Siew C K. Universal Approximation Using Incremental Constructive Feedforward Networks with Random Hidden Nodes[J]. IEEE Transaction on Neural Networks, 2006, 17(4): 879-892.
[13]Huang G B, Zhou H,Ding X, et al. Extreme Learning Machine for Regression and Multi-class Classification[J]. IEEE Transaction on Systems Man and Cybernetics-Part B:Cybernetics, 2012, 42(2): 51-529.
[14]Liang N Y,Huang G B, Saratchandran P, et al. A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks[J]. IEEE Trans. Neural Networks, 2006, 17(6):1411-1423.
[15]Kasun L L C, Zhou H, Huang G B, et al. Representational Learning with Extreme Learning Machine for Big Data[J]. IEEE Intelligent System, 2013,28(6):1-4. |