ABSTRACT
We have seen over the past chapters that the artificial neural networks (ANNs) are extremely useful for machine learning in real life applications. The ease with which these systems are designed, implemented, and put into use lends itself to their wide application in speech recognition, facial recognition, character recognition, financial analysis, bioinformatics, credit analysis, and more. The ANNs form great tools not only for learning the historical data but also for generalizing this learning to unknown inputs.
