Joint Learning of Model Parameters and Coefficients for Online Nonlinear Estimation
We propose a novel online algorithm for efficient nonlinear estimation. Target nonlinear functions are approximated with “unfixed”Gaussians of which the parameters are regarded as (a part of) variables. The Gaussian parameters (scales and centers), as well as the coefficients,...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2021-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9333579/ |