[1] |
周腾, 宋真, Sundmacher K. 大数据为材料研究创造新机遇--材料设计的机器学习方法与应用综述[J]. Engineering, 2019, 5(6): 1017-1026.
doi: 10.1016/j.eng.2019.02.011
|
[2] |
Rajan K. Materials informatics: the materials "gene" and big data[J]. Annual Review of Materials Research, 2015, 45: 153-169.
doi: 10.1146/annurev-matsci-070214-021132
|
[3] |
Virshup A M, Contreras-García J, Wipf P, et al. Stochastic voyages into uncharted chemical space produce a representative library of all possible drug-like compounds[J]. Journal of the American Chemical Society, 2013, 135(19): 7296-7303.
doi: 10.1021/ja401184g
pmid: 23548177
|
[4] |
Karak S K, Chatterjee S, Bandopadhyay S. Mathematical modelling of the physical and mechanical properties of nano-Y$_2$O$_3$ dispersed ferritic alloys using evolutionary algorithm-based neural network[J]. Powder Technology, 2015, 274: 217-226.
doi: 10.1016/j.powtec.2015.01.028
|
[5] |
计智伟, 胡珉, 尹建新. 特征选择算法综述[J]. 电子设计工程, 2011, 19(9): 46-51.
|
[6] |
Huang L L, Tang J, Sun D D, et al. Feature selection algorithm based on multi-label ReliefF[J]. Journal of Computer Applications, 2012, 32(10): 2888-2890.
doi: 10.3724/SP.J.1087.2012.02888
|
[7] |
吴迪, 郭嗣琮. 改进的 Fisher Score 特征选择方法及其应用[J]. 辽宁工程技术大学学报(自然科学版), 2019, 38(5): 472-479.
|
[8] |
崔鸿雁, 徐帅, 张利锋, 等. 机器学习中的特征选择方法研究及展望[J]. 北京邮电大学学报, 2018, 41(1): 1-12.
|
[9] |
Guyon I, Weston J, Barnhill S, et al. Gene selection for cancer classification using support vector machines[J]. Machine Learning, 2002, 46: 389-422.
doi: 10.1023/A:1012487302797
|
[10] |
姚登举, 杨静, 詹晓娟. 基于随机森林的特征选择算法[J]. 吉林大学学报(工学版), 2014, 44(1): 137-141.
|
[11] |
姚旭, 王晓丹, 张玉玺, 等. 特征选择方法综述[J]. 控制与决策, 2012, 27(2): 161-166.
|
[12] |
毛勇, 周晓波, 夏铮, 等. 特征选择算法研究综述[J]. 模式识别与人工智能, 2007, 20(2): 211-218.
|
[13] |
Bellman R, Kalaba R. Dynamic programming and statistical communication theory[J]. Proceedings of the National Academy of Science of the United States of America, 1957, 43(8): 749-751.
doi: 10.1073/pnas.43.8.749
|
[14] |
Andreae J H. STELLA: a scheme for a learning machine[J]. IFAC Proceedings Volumes, 1963, 1(2): 497-502.
doi: 10.1016/S1474-6670(17)69682-4
|
[15] |
Sutton R S. Reinforcement learning: past, present and future[C]// Asia-Pacific Conference on Simulated Evolution and Learning. 1999: 195-197.
|
[16] |
Watkins C. Learning from delayed rewards[D]. Cambridge: University of Cambridge, 1989.
|
[17] |
Mnih V, Kavukcuoglu K, Silver D, et al. Playing Atari with deep reinforcement learning[C]// NIPS. 2013.
|
[18] |
Silver D, Lever G, Heess N, et al. Deterministic policy gradient algorithms[C]// International Conference on Machine Learning. 2014: 387-395.
|
[19] |
Van Hasselt H, Guez A, Silver D. Deep reinforcement learning with double $q$- learning[C]// Proceedings of the AAAI Conference on Artificial Intelligence. 2016.
|
[20] |
唐振韬, 邵坤, 赵冬斌, 等. 深度强化学习进展: 从 AlphaGo 到 AlphaGo Zero[J]. 控制理论与应用, 2017, 34(12): 1529-1546.
|
[21] |
Watkins C, Dayan P. Technical note: $Q$-learning[J]. Machine Learning, 1992, 8(3/4): 279-292.
|
[22] |
高阳, 陈世福, 陆鑫. 强化学习研究综述[J]. 自动化学报, 2004(1): 86-100.
|
[23] |
刘路放, 冯博琴. 符号回归的枚举原型算法及其匹配算法研究[J]. 西安交通大学学报, 2000, 34(3): 1-4.
|
[24] |
谢锦涛, 何丰, 王如岑. Double DQN 在坦克对战游戏中的应用[J]. 福建电脑, 2020, 36(5): 120-121.
|
[25] |
胡壮麒, 张海峰. 块状非晶合金及其复合材料研究进展[J]. 金属学报, 2010, 46(11): 1391-1421.
doi: 10.3724/SP.J.1037.2010.00381
|
[26] |
欧阳求保, 张国定, 张荻. 非连续增强铝基复合材料的研究与应用进展[J]. 中国材料进展, 2010, 29(4): 36-40.
|