Unsupervised Regression Model of Geodesic Flow Kernel Based on Dynamic Independent Component Analysis and Dynamic Principal Component Analysis
It is difficult to accurately measure parameters by using the traditional soft sensor algorithm when the working condition of industrial process is changed. Therefore, a transfer learning strategy is introduced based on geodesic flow kernel to solve this problem. At the same time, the method is opti...
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| Autores principales: | , , , |
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| Formato: | article |
| Lenguaje: | ZH |
| Publicado: |
Editorial Office of Journal of Shanghai Jiao Tong University
2020
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/a55168d826a44c0ab572a2137dbea08a |
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