Please use this identifier to cite or link to this item:
http://hdl.handle.net/2282/398
|
| Title: | A didactically motivated PLS prediction algorithm |
| Authors: | Ergon, Rolf
Esbensen, Kim H. |
| Issue Date: | 2001 |
| Abstract: | The intention of this paper is to develop an easily understood PLS prediction
algorithm, especially for the control community. The algorithm is based on an
explicit latent variables model, and is otherwise a combination of the previously
published Martens and Helland algorithms. A didactic connection to Kalman
filtering theory is provided for a methodological overview. |
| Keywords: | PLS prediction
Latent variables models
Kalman filtering |
| Publisher: | Norsk forening for automatisering |
| Document type: | Journal article |
| URI: | http://hdl.handle.net/2282/398 |
| Appears in Collections: | Institutt for elektro, IT og kybernetikk
|
This item is protected by a usage licens. All items in TEORA are protected by copyright.
|
