"Applications:
The utility of artificial neural network models lies in the fact that they can be used to infer a function from observations. This is particularly useful in applications where the complexity of the data or task makes the design of such a function by hand impractical.
Real life applications:
The tasks to which artificial neural networks are applied tend to fall within the following broad categories:
Application areas include system identification and control (vehicle control, process control), game-playing and decision making (backgammon, chess, racing), pattern recognition (radar systems, face identification, object recognition and more), sequence recognition (gesture, speech, handwritten text recognition), medical diagnosis, financial applications, data mining (or knowledge discovery in databases, 'KDD'), visualization and e-mail spam filtering."
Steve's Commentary
Artificial Neural Networks could be applied to sift through large amounts of raw data and cluster it according to patterns that could then be used as a classification.