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library(RSNNS)
data(snnsData)
patterns <- snnsData$art1_letters.pat
model <- assoz(patterns, dimX=7, dimY=5)
#model$fitted.values
actMaps <- matrixToActMapList(model$fitted.values, nrow=7)
par(mfrow=c(3,3))
for (i in 1:9) plotActMap(actMaps[[i]])
#predict(model, patterns)
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