Diagnosis Chest Diseases Using Neural Network and Genetic Hybrid Algorithm

The back propagation algorithm is most popular algorithm in feed forward neural network with the multi-layer.\ud It measures the output error and calculates the gradient of the error and adjusting the ANN weight moving along\ud the descending gradient direction. Back propagation is used to learn and store by mapping relations of inputoutput\ud model. A genetic algorithm is having a random probability distribution or pattern that may be analyses\ud statistically but may not be predicted precisely. Genetic algorithm is an iterative procedure that generates new\ud population for individual from the old one. In my paper I am proposing to implement the back propagation\ud algorithm and genetic algorithm to compare the output accuracy percent for medical diagnosis on various chest\ud diseases (Asthme, tuberculosis, lung cancer, pneumonia