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Title: How size of target avalanches influences prediction efficiency Authors: ID Shapoval, Alexander (Author) ID Shnirman, M. (Author) Files: This document has no files that are freely available to the public. This document may have a physical copy in the library of the organization, check the status via COBISS.  Language: English Work type: Unknown Typology: 1.01 - Original Scientific Article Organization: UNG - University of Nova Gorica Abstract: Bak, Tang, and Wiesenfeld [Phys. Rev. Lett.59, 381 (1987)] introduced their sand-pile (BTW sand-pile) as the cellular automata coming to their critical state without tuning any inner model parameters. The main model features deal with grains falling slowly onto the two-dimensional lattice and a quick deterministic transport of the superfluous grains to the boundary. The simplest modifications of the BTW sand-pile develop a random transport mechanism instead of a deterministic one. The model transportation of the grains generates avalanches. We find that before the big avalanches the height of the pile increases and the singular grains organize themselves in special clusters. These observations lead to the formal algorithm that predicts the big avalanches in advance with a certain efficiency. However the efficiency for the BTW sand-pile is worse than that for its stochastic modifications. Keywords: sandpile, prediction, avalanches Year of publishing: 2004 Number of pages: str. 1777-1790 Numbering: Vol. 17, no. 12 PID: 20.500.12556/RUNG-6492  COBISS.SI-ID: 60316419  UDC: 53 ISSN on article: 0129-1831 DOI: 10.1142/S0129183106010212  NUK URN: URN:SI:UNG:REP:FDHZ3KLW Publication date in RUNG: 19.04.2021 Views: 1626 Downloads: 0 Metadata:     Cite this work Plain text BibTeX EndNote XML EndNote/Refer RIS ABNT ACM Ref AMA APA Chicago 17th Author-Date Harvard IEEE ISO 690 MLA Vancouver : Copy citation

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Record is a part of a journal

Title:	International journal of modern physics C
Shortened title:	Int. j. mod. phys. C
Publisher:	World Scientific
ISSN:	0129-1831
COBISS.SI-ID:	2801191

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