Automatic kernel regression modelling using combined leave-one-out test score and regularised orthogonal least squares
This paper introduces an automatic robust nonlinear identification algorithm using the leave-one-out test score also known as the PRESS (Predicted REsidual Sums of Squares) statistic and regularised orthogonal least squares. The proposed algorithm aims to achieve maximised model robustness via two e...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2004-02.
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| Subjects: | |
| Online Access: | Get fulltext Get fulltext |