Prediction analysis in nonlinear systems

Author

Zhang, Ya-gang ; Zhang, Po ; Wang, Zeng-ping

Author_Institution

Key Lab. of Power Syst. Protection, North China Electr. Power Univ., Baoding

Volume

4

fYear

2008

fDate

12-15 July 2008

Firstpage

2337

Lastpage

2341

Abstract

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.

Keywords

chaos; forecasting theory; grey systems; nonlinear systems; synchronisation; time series; amino acids symbolic sequences; chaotic synchronization; data sequences forecasting; forecast precision; nonlinear systems; prediction analysis; protein structure; time series; Amino acids; Chaos; DNA; Economic forecasting; Finance; Nonlinear systems; Prediction methods; Predictive models; Proteins; Sequences; Chaotic Synchronization; Grey Prediction; Nonlinear System; Symbolic Dynamics;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2008 International Conference on

Conference_Location

Kunming

Print_ISBN

978-1-4244-2095-7

Electronic_ISBN

978-1-4244-2096-4

Type

conf

DOI

10.1109/ICMLC.2008.4620795

Filename

4620795