Comparative Study and Analysis on Hybrid Neural Network Classification

In order to improve the comprehensive study and analysis on Neural Classification, high efficiency, humanization of the type of the search and eliminate games, and also to improve the search performance and rule out the accuracy of the target during intelligence games running. This paper puts forward a comprehensive method that combines Genetic Algorithm, Neural Network and Back Propagation (BP) to solve the insufficiency of computing power and low efficiency by using a single algorithm in Neural Classification. In this method, Hereditary algorithm will be utilized as a part of weight preparing of Neural Network above all else. It won’t quite repeating until Genetic Algorithm advance into a specific degree or system mistakes fulfill the requirements, and convey the best chromosome we get to Neural Network. At that point back Propagation prepares the information that goes through the Neural Network, which is Neural Network second preparing. At long last the paper applies the new route the Mie Clearance explore.