A conceptual framework of artifical neural network

Artificial Neural Networks are non-linear structures based on the function of human brain. They are highly flexible function approximators for any data. In this paper, we discuss about Artificial Neural Network, its components, architecture and types of neural networks based on different types learning methodology. We have also elaborated on applications of ANNs in various fields. An ANN is also being constructed taking Sum function as propagation function and Sigmod as activation function for a simple neuron.