Title :
Time series forecasting models on the base of modified clonal selection algorithm
Author :
Demidova, Liliya A.
Author_Institution :
Ryazan State Radio Eng. Univ., Ryazan, Russia
fDate :
June 30 2014-July 4 2014
Abstract :
Forecasting models on the base of modified clonal selection algorithm, providing the forecast accuracy increase by means of analytical dependences´ formation using antibodies, describing known values of time series are offered. Procedure antibodies´ correct coding on the base of binary trees is developed. Models´ program realization is executed in MATLAB.
Keywords :
encoding; forecasting theory; time series; trees (mathematics); MATLAB; analytical dependences´ formation; antibody correct coding; binary trees; forecast accuracy; model program realization; modified clonal selection algorithm; time series forecasting model; Analytical models; Binary trees; Forecasting; Predictive models; Sociology; Time series analysis;
Conference_Titel :
Computer Technologies in Physical and Engineering Applications (ICCTPEA), 2014 International Conference on
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4799-5315-8
DOI :
10.1109/ICCTPEA.2014.6893261
