An F77 package for feed-forward artificial neural network data process
ing, JETNET 3.0, is presented. It represents a substantial extension a
nd generalization of an earlier release, JETNET 2.0. The package, whic
h consists of a set of subroutines, is focused on multilayer perceptro
n architectures. As compared to earlier versions it contains a variety
of minimization options, measures for monitoring the learning process
, limited precision emulation, etc. Also, the reader is provided with
a set of guidelines for when to use the different options.