Predicting and characterizing data sequences from structure-variable systems
comp-gas
2008-02-03 v1 Cellular Automata and Lattice Gases
Abstract
In principle, all the natural systems such as biological, ecological and economical systems are structure-variable systems (in which some environment parameters are not fixed). In this Letter we show that data sequences from many structure-variable systems are short-term predictable. We also argue how to characterize the data sequences from structure-variable systems.
Keywords
Cite
@article{arxiv.comp-gas/9505003,
title = {Predicting and characterizing data sequences from structure-variable systems},
author = {H. P. Fangi and L. Y. Cao},
journal= {arXiv preprint arXiv:comp-gas/9505003},
year = {2008}
}
Comments
6 pages, figures can be obtained from the first author, will appear in Phys. Rev. E, Present address: Department of Physics, Fudan University, Shanghai, 200433, China (for Fangi)