<aside> 💡
</aside>
Artificial Neural Networks commonly referred as "Neural Networks" [4]. This concept immerged while scientists looking for a solution to replicate human brain. In some cases like identification and prediction the human brain tracks the problem more efficiently than other controllers. That is because human brain computes entirely different way from the conventional digital computer.
The human brain is a highly complex, non-linear and parallel computer. (Information processing system)[5]. It has the compatibility to organize its structure constituents, known as neurons, so as to perform certain computations many times faster than the fastest digital computer available today.
For an example the human vision, the human routinely accomplishes perceptual recognition tasks such as recognizing familiar face embedded in an familiar scene in approximately 100-200ms, where as tasks of much lesser complexity may take hours on a conventional computer [6]. Hence we can say the brain processes information super quickly and super accurately. It can also be trained to recognize patterns and to identify incomplete patterns. Moreover the trained network works even if certain neurons failed.