THE HPP RULE WITH MEMORY AND THE DENSITY CLASSIFICATION TASK

Ramón Alonso-Sanz ()
Additional contact information
Ramón Alonso-Sanz: ETSI Agronomos (Estadistica, GSC), Polytechnic University of Madrid, C. Universitaria, 28040 Madrid, Spain

International Journal of Modern Physics C (IJMPC), 2010, vol. 21, issue 09, 1115-1128

Abstract: This article considers an extension to the standard framework of cellular automata by implementing memory capability in cells. It is shown that the important block HPP rule behaves as an excellent classifier of the density in the initial configuration when applied to cells endowed with pondered memory of their previous states. If the weighing is made so that the most recent state values are assigning the highest weights, the HPP rule surpasses the performance of the best two-dimensional density classifiers reported in the literature.

Keywords: Density; cellular automaton; memory; 05.45.-a; 45.05.+x (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0129183110015713
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijmpcx:v:21:y:2010:i:09:n:s0129183110015713

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0129183110015713

Access Statistics for this article

International Journal of Modern Physics C (IJMPC) is currently edited by H. J. Herrmann

More articles in International Journal of Modern Physics C (IJMPC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().