Brain disorder detection using artificial neural network

This paper is regarding an XML based language to perform artificial neural network application (ANN). Here we see how Neural XML (NXML) can be used for an `intelligent´ task that is for identifying images based on various criteria with an example of interesting `pseudo´ brain disorder detection. This is the model in which artificial neural networks are based. Thus far, artificial neural networks haven´t even come close to modeling the complexity of the brain, but they have shown to be good at problems which are easy for a human but difficult for a traditional computer, such as image recognition and predictions based on past knowledge. The algorithm which we use here is BPN. Back-propagation is well suited to pattern recognition problems. In this study we considered a perceptron based feed forward neural network for the detection of brain disorder.