Orthogonal least-squares learning algorithm with local adaptation process for the radial basis function networks
10.1109/97.511811
Saved in:
Main Authors: | Chng, E.-S., Yang, H.H., Bös, S. |
---|---|
其他作者: | INSTITUTE OF SYSTEMS SCIENCE |
格式: | Article |
出版: |
2016
|
在線閱讀: | http://scholarbank.nus.edu.sg/handle/10635/132759 |
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
-
Framework for gradient integration by combining radial basis functions method and least-squares method
由: Huang, Lei, et al.
出版: (2013) -
Orthogonal least squares based complex-valued functional link network
由: Amin, Md. Faijul, et al.
出版: (2013) -
Numerical comparison of least square-based finite-difference (LSFD) and radial basis function-based finite-difference (RBFFD) methods
由: Shu, C., et al.
出版: (2014) -
A least-square radial point collocation method for adaptive analysis in linear elasticity
由: Kee, B.B.T., et al.
出版: (2014) -
A regularized least-squares radial point collocation method (RLS-RPCM) for adaptive analysis
由: Kee, B.B.T., et al.
出版: (2014)