GPR model with signal preprocessing and bias update for dynamic processes modeling
This paper introduces a Gaussian process regression (GPR) model which could adapt to both linear and nonlinear systems automatically without prior introduction of kernel functions. The applications of GPR model for two industrial examples are presented. The first example addresses a biological anaer...
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| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
2013
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| Online Access: | https://hdl.handle.net/10356/100842 http://hdl.handle.net/10220/10816 |
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| Institution: | Nanyang Technological University |
| Language: | English |