The Application Of Neural Network In Security System

Stock market is economic barometer and alarm, whose function is not only valued by government but also concerned by investors. From the practical angle, this paper presents a kind of thought and method, using neural network to predict, as well as training algorithms. A large number of simulation results show us that in stock price (index) system neural network provide colossal application space. Although we have made a little progress in predicting stock market based on neural network, which is just tentative and elementary, we need further research. The paper integrates Delphi which is programming flexibly and efficiently with Matlab which has powerful computing ability. The system's main features include steady and rapid running speed, easy manipulation and powerful functions.