Research On Economy Forecast With Chaos Theory

Firstly it has been introduced simply in this thesis that chaos theory and its application in economy forecast's research. Then it has been emphasized on improve the forecast model with studying on maximum forecast time scale and neural network.It is a traditional forecasting tool of BP neural network. The chaos theory has been used in BP algorithm and its overall ergodicity in solving BP neural network's local minimums to gaining quicker and better globally network.Economy system in essence is a non-linear complexity system. Based on chaos time series nonlinear attribution, Lyapunov index has been applied in estimating maximum forecast time scale. It also applied improved Bp neural network in forecasting economy data to improve forecasting precision.In last, after summary of all work it has been put forwarded of the deeper study direction.