The first step of this function is to determine the interval from which
the weights for the initialization tasks are selected. Depending upon the
parameters 
and 
, which have to be provided in field1 and
field2, the interval could be:
, if (
) and (
)
, if (
) and (
) or if
(
) and (
)
, if (
) and (
)
The chosen weight vector 
for every neuron j in the Kohonen layer
consists of the weights 
, which are uniformly values from the above
described intervals. Where 
are the
weights of the links from neuron i to neuron j. The length
of 
is < 1. The last step is to normalize the length
of 
to 1. All weights of the neurons of the Grossberg layer
are random values from the intervals mentioned above.
See also chapter 
for some additional informations.