Description: 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
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