ABSTRACT
Artificial neural networks (ANNs) are being successfully applied for a wide range of problem domains in diverse areas, including engineering, physics, finance, medicine, and others related to purposes of prediction, classification, or control. This extensive success can be attributed to many factors:
Power of modeling
— Neural networks are very sophisticated techniques capable of modeling extremely complex functions.
