[1] HUANG G B, ZHU X, SIEW C. Extreme learning machine: theory and applications[J]. Neurocomputing, 2006, 70(1/2/3): 489-501.[2] HUANG G B, DING X J, ZHOU H. Optimization method based extreme learning machine for classification[J]. Neurocomputing, 2010, 74(1/2/3): 155-163.[3] 高光勇, 蒋国平. 采用优化极限学习机的多变量混沌时间序列预测[J]. 物理学报, 2012, 61(4): 040506.[4] 张弦, 王宏力. 具有选择与遗忘机制的极端学习机在时间序列预测中的应用[J]. 物理学报, 2011, 60(8): 080504.[5] HUANG G B, WANG D H, LAN Y. Extreme learning machines: a survey[J]. International Journal of Machine Learning and Cybernetics, 2011, 2(2): 107-122.[6] FENG G R, HUANG G B, LIN Q P, et al. Error minimized extreme learning machine with growth of hidden nodes and incremental learning[J]. IEEE Transactions on Neural Network, 2009, 20(8): 1352-1357.[7] MAO W T, TIAN M, CAO X Z, et al. Model selection of extreme learning machine based on multi-objective optimization[J]. Neural Computing & Applications, 2013,22(3): 521-529. [8] 刘学艺, 李平, 郜传厚. 极限学习机的快速留一交叉验证算法[J]. 上海交通大学学报, 2011, 45(8): 6-11.[9] ZHU Q Y, QIN A K, SUGANTHAN P N, et al. Evolutionary extreme learning machine[J]. Pattern Recognition, 2005, 38(2): 1759-1763.[10] ZHENG V W, PAN S J, YANG Q, et al. Transferring multi-device localization models using latent multi-task learning[C]// Proceedings of the 23rd AAAI Conference on Artificial Intelligence. Palo Alto:AAAI Press, 2008: 1427-1432.[11] BEZDEK J C, HATHAWAY R J. Convergence of alternation optimization[J]. Neural Parallel Scientific Computing, 2003, 11(4): 351-368.[12] 毛文涛. 支持向量回归机模型选择研究及在综合力学环境预示中的应用[D]. 西安:西安交通大学, 2011. |