Published Paper Details:

Artificial neural network (ANN) is an information processing system whose function is inspired by the way biological nervous system such as human brain works. It is a collection of a large number of highly interconnected functional units (analogous to neurons present in human brain) working in synch with each other to solve specific problems. ANN can be trained to learn by examples and can perform a wide variety of tasks like pattern recognition, feature extraction and selection from large and complex data sets that are beyond the computational capability of mathematical and traditional procedures. Because of their learning capability and flexible architecture ANN has attracted researchers across the globe to develop specific applications for solving a wide variety of real world problems ranging from simple to complex. The objective of this paper is to study about neural network and review some of its applications that have been developed to solve specific real world problems. For this study secondary data has been collected from reputed journals for the period from 2008 to 2014, standard books and websites.