Suscripción a Biblioteca: Guest
Portal Digitalde Biblioteca Digital eLibros Revistas Referencias y Libros de Ponencias Colecciones
Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN Imprimir: 1064-2315
ISSN En Línea: 2163-9337

Volumes:
Volumen 52, 2020 Volumen 51, 2019 Volumen 50, 2018 Volumen 49, 2017 Volumen 48, 2016 Volumen 47, 2015 Volumen 46, 2014 Volumen 45, 2013 Volumen 44, 2012 Volumen 43, 2011 Volumen 42, 2010 Volumen 41, 2009 Volumen 40, 2008 Volumen 39, 2007 Volumen 38, 2006 Volumen 37, 2005 Volumen 36, 2004 Volumen 35, 2003 Volumen 34, 2002 Volumen 33, 2001 Volumen 32, 2000 Volumen 31, 1999 Volumen 30, 1998 Volumen 29, 1997 Volumen 28, 1996

Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v40.i3.40
pages 35-46

Study of Impact of Data Sampling Division upon the Accuracy of Simulation by the GMDH Algorithms

Nina V. Kondrashova
International Research and Training Center of Information Technologies and Systems of National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kiev, Ukraine

SINOPSIS

Division of a sample and the criteria for the best division are important elements in GMDH algorithms. We consider the efficiency of sampling division in problems of approximation, extrapolation and forecasting. Main attention is paid to a quasioptimal method of division, which in combination with other methods is able to increase the accuracy of the extrapolation and forecasting. The highest accuracy of the models is achieved by joining a quasioptimal division and adaptive prediction. The use of multiple methods of division allows to choose appropriate technology for each problem according to the particular object one.


Articles with similar content:

Fuzzy Identification on the Basis of Regression Models of Parametric Membership Function
Journal of Automation and Information Sciences, Vol.38, 2006, issue 11
Sergey D. Shtovba
Clustering of Composite Fuzzy Numbers Aggregate Based on Sets of Scalar and Vector Levels
Journal of Automation and Information Sciences, Vol.50, 2018, issue 10
Evgeniy V. Ivokhin , Dmitriy V. Apanasenko
Linear Regression Analysis of a Small Sample of Fuzzy Input Data
Journal of Automation and Information Sciences, Vol.44, 2012, issue 7
Oksana V. Seraya , Dmitriy A. Demin
AN ADAPTIVE FINITE ELEMENT MULTIWAVELET-BASED METHOD FOR ELASTIC PLATE PROBLEMS
International Journal for Multiscale Computational Engineering, Vol.12, 2014, issue 3
Youming Wang, Yongqing Fan, Qing Wu
P-SOFT ROUGH FUZZY GROUPS AND P-SOFT FUZZY ROUGH GROUPS AND CORRESPONDING DECISION-MAKING
International Journal for Uncertainty Quantification, Vol.8, 2018, issue 1
Jianming Zhan, Wenjun Pan