An approach that enables reducing the number of computations while
modeling data sets using a neural network. To model a first system
characterized by a data set, a determination is made as to whether the
data elements of the data set follow a similar pattern as data elements
of another data set. If such an another data set exists, the weights
determined with a system associated with the another data set, are used
as initial weights while modeling the first system. Due to such a
feature, number of computations in a neural network can be reduced while
modeling several data sets.