This initialization procedure influences only the link weights between hidden and output layer. It initializes the network as well as possible by taking the bias and the center vectors of the hidden neurons as a starting point. The center vectors can be set by the previously described initialization procedure. Another possibility is to create the center vectors by an external procedure, convert these center vectors into a SNNS pattern file and copy the patterns into the corresponding link weights by using the previously described initialization procedure. When doing this, Kohonen training must not be performed of course.

The effect of the procedure ` RBF_Weights_Redo` differs from
` RBF_Weights` only in the way that the center vectors and
the bias remain unchanged. As expected, the last two initialization
parameters are omitted. The meaning and effect of the remaining three
parameters is identical with the ones described in ` RBF_Weights`.

Niels.Mache@informatik.uni-stuttgart.de

Tue Nov 28 10:30:44 MET 1995