ABSTRACT
Artificial neural networks (ANN) are a functional abstraction of the
biological neural structures of the central nervous system
(Aleksander and Morton, 1993; Rudomin et al, 1993; Arbib, 1995;
Anderson, 1995; Bishop, 1995). They are powerful pattern
recognizers and classifiers. They operate as black box, model-free,
and adaptive tools to capture and learn significant structures in data.
Their computing abilities have been proven in the fields of prediction
and estimation, pattern recognition, and optimization (Adeli and
