Nonlinear Noise Reduction of Chaotic Time Series Based on Multi-dimensional Recurrent Least Squares Support Vector Machines

Jiancheng Sun, Yatong Zhou, Yaohui Bai, Jianguo Luo. Nonlinear Noise Reduction of Chaotic Time Series Based on Multi-dimensional Recurrent Least Squares Support Vector Machines. In Irwin King, Jun Wang, Laiwan Chan, DeLiang L. Wang, editors, Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I. Volume 4232 of Lecture Notes in Computer Science, pages 900-906, Springer, 2006. [doi]

@inproceedings{SunZBL06,
  title = {Nonlinear Noise Reduction of Chaotic Time Series Based on Multi-dimensional Recurrent Least Squares Support Vector Machines},
  author = {Jiancheng Sun and Yatong Zhou and Yaohui Bai and Jianguo Luo},
  year = {2006},
  doi = {10.1007/11893028_100},
  url = {http://dx.doi.org/10.1007/11893028_100},
  tags = {rule-based},
  researchr = {https://researchr.org/publication/SunZBL06},
  cites = {0},
  citedby = {0},
  pages = {900-906},
  booktitle = {Neural Information Processing, 13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I},
  editor = {Irwin King and Jun Wang and Laiwan Chan and DeLiang L. Wang},
  volume = {4232},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-46479-4},
}