An Artificial Neural Network (ANN) models the relationship between a set of input signals and an output signal using a model derived from our undestanding of how a biological brain responds to stimuli from sensory inputs. ANN uses a network of artificial neurons or nodes to solve learning problems. At first ANNs were used to simulate learning simple functions like the AND function or the logical OR function, but nowadays as cumputers have become more powerfull that complexity of the ANNs has increased so much that they are now frequently applied to more practical problems including speech and handwrinting recognition programs, automation of smart devices, sophisticated models of weather and climate patterns, etc… ANNs are very versatile learners that can be applied to nearly any learning task, classification, numeric prediction, and even unsuppervised pattern recognition. ANNs are best applied to problems where the input data and output data are well defin...