Predicting and characterizing data sequences from structure-variable systems

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dc.creatorFangi, H. P.
dc.creatorCao, L. Y.
dc.date1995-06-01
dc.date.accessioned2026-07-07T09:11:05Z
dc.date.available2026-07-07T09:11:05Z
dc.descriptionIn 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.
dc.description6 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)
dc.identifierhttps://arxiv.org/abs/comp-gas/9505003
dc.identifierhttp://arxiv.org/abs/comp-gas/9505003
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/151553
dc.subjectCellular Automata and Lattice Gases
dc.titlePredicting and characterizing data sequences from structure-variable systems
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