A Linguistic Approach to a Human-Consistent Summarization of Time Series Using a SOM Learned with a LVQ-Type Algorithm

2006 ◽  
pp. 171-180 ◽  
Author(s):  
Janusz Kacprzyk ◽  
Anna Wilbik ◽  
Sławomir Zadrożny
Keyword(s):  
Time Series ◽  
Type Algorithm ◽  
Linguistic Approach

scholarly journals Comparative analysis of the forecast for variation of the parameters of the hybrid linguistic model

2019 ◽  
Vol 3 (122) ◽  
pp. 32-41
Author(s):  
Ihor Vsevolodovych Baklan ◽  
Tetiana Viktorivna Shulkevych
Keyword(s):  
Information Technology ◽  
Time Series ◽  
Comparative Analysis ◽  
Empirical Evidence ◽  
Optimal Parameters ◽  
Statistical Accuracy ◽  
Linguistic Model ◽  
Linguistic Approach ◽  
Linguistic Models

Using a hybrid linguistic approach to model numerical images in the form of time series using probabilistic grammars based on hidden time series and implement information technology to build sets of linguistic models and their hybrids that describe the dynamics of selected time series of processes of different nature.In the article the results of computational experiments are considered, the quality of forecasting of time series of diverse nature at various parameters was proved. The goal of the current research is to provide empirical evidence of the suitability of using a hybrid linguistic approach for predicting time series.Experimental way to find the optimal parameters of the algorithm. The algorithm was applied to a variety of time series (social, medical, financial and economic), calculated the statistical accuracy of the forecast. Experiments have shown that the algorithm consistently performs the forecast of values in a range of 3-4 steps forward and forecasts the trend change by 3-5 steps.

A linguistic approach to time series modeling with the help of F-transform

2011 ◽  
Vol 180 (1) ◽  
pp. 164-184 ◽  
Author(s):  
Martin Štěpnička ◽  
Antonín Dvořák ◽  
Viktor Pavliska ◽  
Lenka Vavříčková
Keyword(s):  
Time Series ◽  
Time Series Modeling ◽  
Linguistic Approach

Linguistic approach to time series analysis and forecasts

2010 ◽  
Author(s):  
Martin Stepnicka ◽  
Antonin Dvorak ◽  
Viktor Pavliska ◽  
Lenka Vavrickova
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Series Analysis ◽  
Linguistic Approach

The LDE-Type Flare Occurrence (1969-1993)

1994 ◽  
Vol 144 ◽  
pp. 279-282
Author(s):  
A. Antalová
Keyword(s):  
Time Series ◽  
Fourier Analysis ◽  
Sunspot Cycle ◽  
List Type ◽  
Type Number ◽  
Solar Cycles ◽  
Type Iv ◽  
Long Duration ◽  
Cycle Maximum ◽  
Flare Index

AbstractThe occurrence of LDE-type flares in the last three cycles has been investigated. The Fourier analysis spectrum was calculated for the time series of the LDE-type flare occurrence during the 20-th, the 21-st and the rising part of the 22-nd cycle. LDE-type flares (Long Duration Events in SXR) are associated with the interplanetary protons (SEP and STIP as well), energized coronal archs and radio type IV emission. Generally, in all the cycles considered, LDE-type flares mainly originated during a 6-year interval of the respective cycle (2 years before and 4 years after the sunspot cycle maximum). The following significant periodicities were found:• in the 20-th cycle: 1.4, 2.1, 2.9, 4.0, 10.7 and 54.2 of month,• in the 21-st cycle: 1.2, 1.6, 2.8, 4.9, 7.8 and 44.5 of month,• in the 22-nd cycle, till March 1992: 1.4, 1.8, 2.4, 7.2, 8.7, 11.8 and 29.1 of month,• in all interval (1969-1992):a)the longer periodicities: 232.1, 121.1 (the dominant at 10.1 of year), 80.7, 61.9 and 25.6 of month,b)the shorter periodicities: 4.7, 5.0, 6.8, 7.9, 9.1, 15.8 and 20.4 of month.Fourier analysis of the LDE-type flare index (FI) yields significant peaks at 2.3 - 2.9 months and 4.2 - 4.9 months. These short periodicities correspond remarkably in the all three last solar cycles. The larger periodicities are different in respective cycles.

Time-series of economic data

1991 ◽  
pp. 300-305
Keyword(s):  
Time Series ◽  
Economic Data

Nonlinear Time Series Analysis

2003 ◽  
Author(s):  
Holger Kantz ◽  
Thomas Schreiber
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Nonlinear Time Series ◽  
Nonlinear Time Series Analysis ◽  
Series Analysis

Filter Design for the Seasonal Adjustment of a Time Series

1974 ◽  
Vol 3 (12) ◽  
pp. 1171-1186
Author(s):  
Edward Melnick ◽  
John Moussourakis
Keyword(s):  
Time Series ◽  
Filter Design ◽  
Seasonal Adjustment
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