  It is approved that artificial neural networks can be considerable effective
in anticipating and analyzing flows in which traditional methods and statics
are not able to solve. in this article, by using two-layer feedforward network
with tan-sigmoid transmission function in input and output layers, we can
anticipate participation rate of public in kohgiloye and boyerahmad province in
future presidential election of islamic republic of iran with 91% accuracy. the
assessment standards of participation such as confusion matrix and roc diagrams
have been approved our claims.
