Artificial vision system training method, associative network training method, artificial vision system link vector training device, artificial vision system link matrix training device, associative network training device, and computer program product

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.