Abstract
Neural network (NN) is an information processing paradigm which is inspired by the human nervous systems. It is known as artificial neural network (ANN) because the processing is similar to the human brain. An ANN is composed of large number of highly interconnected processing elements called the neurons which work in union to solve different problems. This chapter contains preliminaries of Artificial Neural Network, types of neural network and its architecture. This chapter also discusses about the training or learning of neural network and about various activation functions. Matlab programs have been done for calculating different activation functions and to calculate outputs if activation functions are given.
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