Classification and diagnosis using back propagation Artificial Neural Networks (ANN)

Abstract

Artificial neural networks (ANN) consider classification as one of the most dynamic research and application areas. ANN is the branch of Artificial Intelligence (AI). The neural network was trained by back propagation algorithm [1]. A neural network represent a mathematical models of information processing, benefited from the human biological systems (i.e. a brain or nerve cell), where the neutral network can be trained and learned the same as a human brain does. The learning will be done by changing the weight during the training process and by using certain formula. One of the most known neural networks is the Back Propagation Network. This net has been used in variety of application areas. One of the, the classification of certain objects by known only a portion of information of the object to be classified. In this paper we shall use the back propagation network to classify the human blood groups, also we shall use the same program to be same analysis to find the best number of neurons in hidden layer that gives lower number of iteration.