[1]周红标,乔俊飞.基于高维k-近邻互信息的特征选择方法[J].智能系统学报,2017,12(5):595-600.[doi:10.11992/tis.201609020]
 ZHOU Hongbiao,QIAO Junfei.Feature selection method based on high dimensional k-nearest neighbors mutual information[J].CAAI Transactions on Intelligent Systems,2017,12(5):595-600.[doi:10.11992/tis.201609020]
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基于高维k-近邻互信息的特征选择方法

参考文献/References:
[1] OSELEDETS I V, TYRTYSHNIKOV E E. Breaking the curse of dimensionality, or how to use SVD in many dimensions[J]. SIAM journal on scientific computing, 2009, 31(5):3744-3759.
[2] GHAMISI P, BENEDIKTSSON J A. Feature selection based on hybridization of genetic algorithm and particle swarm optimization[J]. IEEE geoscience and remote sensing letters, 2015, 12(2):309-313.
[3] RAUBER T W, ASSIS BOLDT de F, VAREJ?O F M. Heterogeneous feature models and feature selection applied to bearing fault diagnosis[J]. IEEE transactions on industrial electronics, 2015, 62(1):637-646.
[4] WOLD S, SJ?STR?M M, ERIKSSON L. PLS-regression:a basic tool of chemometrics[J]. Chemometrics and intelligent laboratory systems, 2001, 58(2):109-130.
[5] SONG Q, SHEPPERD M. Predicting software project effort:a grey relational analysis based method[J]. Expert systems with applications, 2011, 38(6):7302-7316.
[6] FENG J, JIAO L, LIU F, et al. Mutual-information-based semi-supervised hyperspectral band selection with high discrimination, high information, and low redundancy[J]. IEEE transactions on geoscience and remote sensing, 2015, 53(5):2956-2969.
[7] BENNASAR M, HICKS Y, SETCHI R. Feature selection using joint mutual information maximisation[J]. Expert systems with applications, 2015, 42(22):8520-8532.
[8] SHANNON C E. A mathematical theory of communication[J]. ACM sigmobile mobile computing and communications review, 2001, 5(1):3-55.
[9] BATTITI R. Using mutual information for selecting features in supervised neural net learning[J]. IEEE transactions on neural networks, 1994, 5(4):537-550.
[10] PENG H, LONG F, DING C. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy[J]. IEEE transactions on pattern analysis and machine intelligence, 2005, 27(8):1226-1238.
[11] FLEURET F. Fast binary feature selection with conditional mutual information[J]. Journal of machine learning research, 2004, 5:1531-1555.
[12] YANG H H, MOODY J E. Data visualization and feature selection:new algorithms for nongaussian data[C]//Advances in Neural Information Processing Systems. Cambridge,Britain, 1999:687-693.
[13] BROWN G. A new perspective for information theoretic feature selection[C]//Proceedings of the 12th International Conference on Artificial Intelligence and Statistics. Florida, USA, 2009:49-56.
[14] 韩敏, 刘晓欣. 基于互信息的分步式输入变量选择多元序列预测研究[J]. 自动化学报, 2012, 38(6):999-1005.HAN Min, LIU Xiaoxin. Stepwise input variable selection based on mutual information for multivariate forecasting[J]. ACTA automatica sinica, 2012, 38(6):999-1005.
[15] BEIRLANT J, DUDEWICZ E J, GY?RFI L, et al. Nonparametric entropy estimation:an overview[J]. International journal of mathematical and statistical sciences, 1997, 6(1):17-39.
[16] MOON Y I, RAJAGOPALAN B, LALL U. Estimation of mutual information using kernel density estimators[J]. Physical review E, 1995, 52(3):2318-2321.
[17] KRASKOV A, ST?GBAUER H, GRASSBERGER P. Estimatingmutual information[J]. Physical review E, 2004, 69(6):1-16.
[18] ST?GBAUER H, KRASKOV A, ASTAKHOV S A, et al. Least-pendent-component analysis based on mutual information[J]. Physical review E, 2004, 70(6):1-17.
[19] 霍军周, 王亚杰, 欧阳湘宇, 等. 基于BP神经网络的TBM主轴承载荷谱预测[J]. 哈尔滨工程大学学报, 2015, 36(7):965-969.HUO Junzhou, WANG Yajie, OUYANG Xiangyu, et al.Load spectrum prediction of the main drive bearing of a tunnel boring machine based on BP neural networks[J]. Journal of Harbin Engineering University, 2015, 36(7):965-969.
[20] 乔俊飞, 周红标. 基于自组织模糊神经网络的出水总磷预测[J]. 控制理论与应用, 2017, 34(2):224-232. QIAO Junfei, ZHOU Hongbiao. Prediction of effluent total phosphorus based on self-organizing fuzzy neural network[J]. Control theory and applications, 2017, 34(2):224-232.
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备注/Memo

收稿日期:2016-09-21。
基金项目:国家自然科学基金重点项目(61533002)
作者简介:周红标, 男, 1980年生, 讲师, 博士研究生, 主要研究方向为神经网络分析与设计。发表论文十余篇, 其中被EI检索6篇;乔俊飞, 男, 1968年生, 教授, 博士生导师, 主要研究方向为污水处理过程智能优化控制。获教育部科技进步奖一等奖和北京市科学进步奖三等奖各1项, 发表论文近100篇, 其中被SCI收录18篇, EI收录60篇, 获发明专利20项.
通讯作者:乔俊飞.E-mail:hyitzhb@163.com

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