abstract = "a parallel implementation of a recently introduced
method for feature construction is described. This
technique uses parallel genetic algorithms along with
RBF neural networks to create new features from the
original ones by discovering the hidden relations
between patterns. The method is tested on series of
classification problems from a variety of areas and the
results are reported. The accompanied software is
written entirely in ANSI C++ using the well established
MPI library for parallelisation.",