Convergence analysis of a deterministic discrete time system of Oja's PCA learning algorithm
10.1109/TNN.2005.852236
Saved in:
Main Authors: | Yi, Z., Ye, M., Lv, J.C., Tan, K.K. |
---|---|
其他作者: | ELECTRICAL & COMPUTER ENGINEERING |
格式: | Article |
出版: |
2014
|
主題: | |
在線閱讀: | http://scholarbank.nus.edu.sg/handle/10635/55430 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | National University of Singapore |
相似書籍
-
Global convergence of Oja's PCA learning algorithm with a non-zero-approaching adaptive learning rate
由: Cheng Lv, J., et al.
出版: (2014) -
A robust and globally convergent PCA learning algorithm
由: Ye, M., et al.
出版: (2014) -
Convergence analysis of Xu's LMSER learning algorithm via deterministic discrete time system method
由: Cheng Lv, Jian, et al.
出版: (2014) -
Determination of the number of principal directions in a biologically plausible PCA model
由: Lv, J.C., et al.
出版: (2014) -
Global convergence of GHA learning algorithm with nonzero-approaching adaptive learning rates
由: Lv, J.C., et al.
出版: (2014)