This paper presents an introductory article on Artificial Neural Networks, which further elaborates on its concept, structure and applications. It explains how ANNs use the working of the human brain-inspired neural architecture to solve complex problems. The neuron, layer and algorithm overview highlights key elements of such networks and how they can perform tasks like recognition, classification, and prediction. The paper is designed to make the readers aware of the basic principles and the potential of ANNs.
Om Srivastava (Sat,) studied this question.