Download Package `RSNNS`

encodeClassLabels
21
Value
an rsnns object.
References
Elman, J. L. (1990), ’Finding structure in time’, Cognitive Science 14(2), 179–211.
Zell, A. et al. (1998), ’SNNS Stuttgart Neural Network Simulator User Manual, Version 4.2’, IPVR,
University of Stuttgart and WSI, University of Tübingen. http://www.ra.cs.uni-tuebingen.
de/SNNS/
Zell, A. (1994), Simulation Neuronaler Netze, Addison-Wesley. (in German)
See Also
jordan
Examples
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run:
run:
run:
run:
demo(iris)
demo(laser)
demo(eight_elman)
demo(eight_elmanSnnsR)
data(snnsData)
inputs <- snnsData$eight_016.pat[,inputColumns(snnsData$eight_016.pat)]
outputs <- snnsData$eight_016.pat[,outputColumns(snnsData$eight_016.pat)]
par(mfrow=c(1,2))
modelElman <- elman(inputs, outputs, size=8, learnFuncParams=c(0.1), maxit=1000)
modelElman
modelJordan <- jordan(inputs, outputs, size=8, learnFuncParams=c(0.1), maxit=1000)
modelJordan
plotIterativeError(modelElman)
plotIterativeError(modelJordan)
summary(modelElman)
summary(modelJordan)
encodeClassLabels
Encode a matrix of (decoded) class labels
Description
Applies analyzeClassification row-wise to a matrix.