Synchronization Analysis of Four Symbolic Complex Dynamical Systems for Future Biology Research

Joint Authors

Zhang, Yagang
Zhao, Zheng
Sun, Yi

Source

Mathematical Problems in Engineering

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-07-29

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Civil Engineering

Abstract EN

The synchronization analysis of four symbolic complex dynamical systems will be discussed carefully in this paper.

Grey system theory is mainly being used to study data sequences that are generated by 4-letter chaotic dynamical system, and the usual prediction accuracy has exceeded 90%.

In this place we have found a generating rule that may at least realize chaotic synchronization in short and medium terms.

Considering the current study of DNA base sequences A-G-C-T and the symbolic characteristic of four symbolic dynamical systems, which are formally in good corresponding relation.

In this paper we have offered an effective research means to approach problems of this kind.

American Psychological Association (APA)

Zhang, Yagang& Zhao, Zheng& Sun, Yi. 2013. Synchronization Analysis of Four Symbolic Complex Dynamical Systems for Future Biology Research. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1010339

Modern Language Association (MLA)

Zhang, Yagang…[et al.]. Synchronization Analysis of Four Symbolic Complex Dynamical Systems for Future Biology Research. Mathematical Problems in Engineering No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-1010339

American Medical Association (AMA)

Zhang, Yagang& Zhao, Zheng& Sun, Yi. Synchronization Analysis of Four Symbolic Complex Dynamical Systems for Future Biology Research. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-1010339

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1010339