| 摘要 |
An artificial vision system traning method starts by forming (S 2 ) a feature matrix including feature sample vectors and a corresponding response sample vector including response sample scalars. The method then uses an iterative procedure to determine a linkage vector linking the response sample vector to the feature matrix. This iterative procedure includes the steps: determining (S 4 ) a response sample vector error estimate in the response sample vector domain; transforming (S 6 ) the response sample vector error estimate into a corresponding linkage vector error estimate in the linkage vector domain; determining (S 7 ) a linkage vector estimate in the linkage vector domain by using the linkage vector error estimate; transforming (S 8 ) the linkage vector estimate into a corresponding response sample vector estimate in the response sample vector domain. These steps are repeated until (S 5 ) the response sample vector error estimate is sufficiently small. |
