发明名称 |
Träning av associativa nät |
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. |
申请公布号 |
SE0003975(L) |
申请公布日期 |
2002.05.01 |
申请号 |
SE20000003975 |
申请日期 |
2000.10.31 |
申请人 |
GRANLUND GOESTA |
发明人 |
GRANLUND GOESTA |
分类号 |
G06F17/16;G06F15/18;G06N3/00;G06T7/00;(IPC1-7):G06F15/18;G06T1/00;G06K9/66 |
主分类号 |
G06F17/16 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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