Prediction analysis in nonlinear systems

The prediction analysis in nonlinear systems will be discussed carefully in this paper. We are mainly using GM (1,1) model to forecast data sequences, and the usual forecast precision is approximate to 90%. In this place we have found a generating rule that may realize chaotic synchronization at least in short and medium term, and we can analysis and forecast in this way. We hope to offer an effective prediction method to study certain properties of DNA base sequences, 20 amino acids symbolic sequences of protein structure, and the time series that can be symbolic in finance market et al.