This letter describes a nonlinear preprocessing method to enhance the
output performance of a network, The introduction of the nonlinear pre
processing method redistributes the distributions of input and output
vectors, and makes the input and output variables more ''orthogonal''
that results in facilitating the network optimization, In some of the
examples, this nonlinear preprocessing technique enables test set erro
r to be enormously reduced by a magnitude of 98%, Three applications o
f time-series predictions applied to evaluate the performance of the p
roposed method are presented.