rsnns
object and initializes its
member variables with the values given as parameters. Furthermore, it
generates an object of SnnsR-class
. Later, this information is
to be used to train the network.
rsnnsObjectFactory(subclass, nInputs, maxit, initFunc, initFuncParams, learnFunc, learnFuncParams, updateFunc, updateFuncParams, shufflePatterns = TRUE, computeIterativeError = TRUE, pruneFunc = NULL, pruneFuncParams = NULL)
rsnns
object
rsnns
subclasses is the following:
rsnns
object with this object factory
train
)
In every rsnns
object, the iterative error is the summed squared error
(SSE) of all patterns. If the SSE is computed on the test set, then it is
weighted to take care of the different amount of patterns in the sets.
mlp
, dlvq
, rbf
, rbfDDA
, elman
,
jordan
, som
, art1
, art2
, artmap
, assoz