SOM learning rules are three main stages : 1) Find the input mode xk closest to the connection weights vector Wj*= (wj* 1,* 2 wj ... .., wj* N) 2) for the right to connect Vector further towards* Wj with input mode xk close reorientation 3) Subject to adjustment weights Vector* Wj, also adjusted neighborhood in all the right connections Vector, and with the increase in the number of learning, gradually narrowing the scope Neighborhood

Packet : 93317440prosom.rar filelist
SOM
SOM\FrmSOM.frm
SOM\FrmSOMMain.frm
SOM\MduSOM.bas
SOM\MSSCCPRJ.SCC
SOM\ProSOM.vbp
SOM\ProSOM.vbw

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