Neural networks have the ability to learn from their environment and adapt
to it in an iterative manner similar to their biological counterparts.
Neurocomputing can play an important role in solving certain problems in science
and engineering such as forecasting, pattern recognition, optimization and
identification of nonlinear systems etc. The course is primarily intended for
those individuals, who want to understand the underlying principles of
artificial neural networks and want to be able to apply various neurocomputing
techniques to solve problems in science and engineering.