Nonlinear prediction of mobile-radio fading channel using recurrent least squares support vector machines and embedding phase space

2004 International Conference on Communications, Circuits and Systems (IEEE Cat. No.04EX914) ◽

10.1109/icccas.2004.1346063 ◽

2004 ◽

Author(s):

Jiancheng Sun ◽

Taiyi Zhang ◽

Feng Liu

Keyword(s):

Support Vector Machines ◽

Phase Space ◽

Least Squares ◽

Fading Channel ◽

Mobile Radio ◽

Support Vector ◽

Nonlinear Prediction ◽

Vector Machines

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Noise reduction for fast fading channel by Recurrent Least Squares Support Vector Machines in embedding phase spaces

Journal of Electronics (China) ◽

10.1007/s11767-006-0016-6 ◽

2006 ◽

Vol 23 (6) ◽

pp. 926-928

Author(s):

Zheng Xiang ◽

Taiyi Zhang ◽

Jiancheng Sun

Keyword(s):

Support Vector Machines ◽

Noise Reduction ◽

Least Squares ◽

Fading Channel ◽

Support Vector ◽

Fast Fading ◽

Vector Machines

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Fault Prediction Model Based on Phase Space Reconstruction and Least Squares Support Vector Machines

2009 Ninth International Conference on Hybrid Intelligent Systems ◽

10.1109/his.2009.307 ◽

2009 ◽

Author(s):

Yunhong Gao ◽

Yibo Li

Keyword(s):

Support Vector Machines ◽

Phase Space ◽

Prediction Model ◽

Least Squares ◽

Phase Space Reconstruction ◽

Fault Prediction ◽

Support Vector ◽

Model Based ◽

Vector Machines

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Modelling of Chaotic Systems with Recurrent Least Squares Support Vector Machines Combined with Reconstructed Embedding Phase Space

Lecture Notes in Computer Science - Advances in Natural Computation ◽

10.1007/11539087_73 ◽

2005 ◽

pp. 573-581 ◽

Cited By ~ 1

Author(s):

Zheng Xiang ◽

Taiyi Zhang ◽

Jiancheng Sun

Keyword(s):

Support Vector Machines ◽

Phase Space ◽

Least Squares ◽

Chaotic Systems ◽

Support Vector ◽

Vector Machines

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A Novel Hyperspectral Unmixing Method based on Least Squares Twin Support Vector Machines

European Journal of Remote Sensing ◽

10.1080/22797254.2021.1877572 ◽

2021 ◽

Vol 54 (1) ◽

pp. 72-85

Author(s):

Liguo Wang ◽

San Wang ◽

Xiuping Jia ◽

Tianyi Bi

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Twin Support Vector Machines ◽

Hyperspectral Unmixing ◽

Vector Machines

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On-line of modeling ship manoeuvring motion by using least squares support vector machines

2011 IEEE 18th International Conference on Industrial Engineering and Engineering Management ◽

10.1109/icieem.2011.6035492 ◽

2011 ◽

Author(s):

Yan Wang ◽

Hao Meng ◽

Zhi-lin Liu ◽

Rui-ting Yu

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Ship Manoeuvring ◽

Vector Machines ◽

On Line

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Offline modeling of nonlinear systems based on least squares support vector machines

2009 International Conference on Computer Engineering & Systems ◽

10.1109/icces.2009.5383287 ◽

2009 ◽

Cited By ~ 1

Author(s):

M. El Bardini ◽

H. M. Khalil ◽

N. El Rabie ◽

M. Sharaf

Keyword(s):

Support Vector Machines ◽

Nonlinear Systems ◽

Least Squares ◽

Support Vector ◽

Vector Machines

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Multiclass Least Squares Wavelet Support Vector Machines

2008 IEEE International Conference on Networking, Sensing and Control ◽

10.1109/icnsc.2008.4525268 ◽

2008 ◽

Cited By ~ 6

Author(s):

Yongzhong Xing ◽

Xiaobei Wu ◽

Zhiliang Xu

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Vector Machines

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New predictive control algorithms based on Least Squares Support Vector Machines

Journal of Zhejiang University SCIENCE A ◽

10.1631/jzus.2005.a0440 ◽

2005 ◽

Vol 6 (5) ◽

pp. 440-446 ◽

Cited By ~ 11

Author(s):

Liu Bin ◽

Su Hong-ye ◽

Chu Jian

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Predictive Control ◽

Control Algorithms ◽

Support Vector ◽

Vector Machines

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Sound Source DOA Estimation and Localization in Noisy Reverberant Environments Using Least-Squares Support Vector Machines

Journal of Signal Processing Systems ◽

10.1007/s11265-009-0423-7 ◽

2009 ◽

Vol 63 (3) ◽

pp. 287-300 ◽

Cited By ~ 4

Author(s):

Huawei Chen ◽

Wee Ser

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Sound Source ◽

Doa Estimation ◽

Support Vector ◽

Reverberant Environments ◽

Vector Machines

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Efficient sparse least squares support vector machines for regression

Proceedings of the 33rd Chinese Control Conference ◽

10.1109/chicc.2014.6895821 ◽

2014 ◽

Cited By ~ 4

Author(s):

Gangquan Si ◽

Jianquan Shi ◽

Zhang Guo ◽

Weili Zhao

Keyword(s):

Support Vector Machines ◽

Least Squares ◽

Support Vector ◽

Vector Machines

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