L-PLC Channel Characteristics Prediction Based on SVM
暂无分享,去创建一个
Shibing Zhang | Zhenchao Wang | Huiran Hou | Yutao Gan | Zhen-chao Wang | Shibing Zhang | Huiran Hou | Yutao Gan
[1] D. Sabolic,et al. Signal propagation modeling in power-line communication networks , 2005, IEEE Transactions on Power Delivery.
[2] Xueqin Zhang,et al. Support Vector Machines for Anomaly Detection , 2006, 2006 6th World Congress on Intelligent Control and Automation.
[3] Yi Pan,et al. Clustering support vector machines for protein local structure prediction , 2007, Expert Syst. Appl..
[4] F. Takens. Detecting strange attractors in turbulence , 1981 .
[5] Gan Yu-tao. Research on modeling of the low-voltage power line communication channel based on chaos theory , 2007 .
[6] Shu Hui. GA multi-parameter identification of low-voltage powerline carrier communication channel model , 2005 .
[7] Shijie Cheng,et al. A novel multicarrier signal transmission system over multipath channel of low-voltage power line , 2004 .
[8] Zhu Changchun,et al. Prediction of the chaotic time series using support vector machines for fuzzy rule-based modeling , 2005 .
[9] Francis Eng Hock Tay,et al. Support vector machine with adaptive parameters in financial time series forecasting , 2003, IEEE Trans. Neural Networks.
[10] Chunru Wan,et al. Classification using support vector machines with graded resolution , 2005, 2005 IEEE International Conference on Granular Computing.
[11] Robert A. Lordo,et al. Learning from Data: Concepts, Theory, and Methods , 2001, Technometrics.
[12] Ke Wang,et al. Localization site prediction for membrane proteins by integrating rule and SVM classification , 2005, IEEE Transactions on Knowledge and Data Engineering.
[13] Klaus Dostert,et al. A multipath model for the powerline channel , 2002, IEEE Trans. Commun..
[14] Johan A. K. Suykens,et al. Least Squares Support Vector Machines , 2002 .
[15] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[16] Zhang Xuegong,et al. INTRODUCTION TO STATISTICAL LEARNING THEORY AND SUPPORT VECTOR MACHINES , 2000 .
[17] Wang Qinruo,et al. Communication reliability design of low-voltage power line communication system , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).
[18] Johan Suykens. Least Squares Support Vector Machines : an Overview , 2002 .
[19] Farhad Rachidi,et al. Analysis of power line communication networks using a new approach based on an efficient measurement technique , 2003, 2003 IEEE Symposium on Electromagnetic Compatibility. Symposium Record (Cat. No.03CH37446).