Title :
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
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;
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
DOI :
10.1109/ICMLC.2008.4620795
