Bond Prediction Based On BP Algorithm

Bond investment has become the most important part of social life along with the developing of economic system reform and finance system reform in our country. As a kind of bond investment, stock trade is a most common risk investment action in modern economic life. Stock market is a complex non-linear dynamic system. It is very difficult to develop the inherent rules using the traditional timing prediction technology. In recent decade years, neural network is becoming the most powerful tool in predicting non-linear dynamic system.This paper puts forward BP improvable algorithm and exponent prediction pattern depending on neural network' s approach ability to non-linear function. Comparing with traditional prediction algorithm, BP algorithm is verified to be feasible and accurate on exponent prediction.