Modeling Time Series of Real Systems using Genetic Programming

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dc.creatorAhalpara, Dilip P.
dc.creatorParikh, Jitendra C.
dc.date2006-07-14
dc.date.accessioned2026-07-07T07:22:25Z
dc.date.available2026-07-07T07:22:25Z
dc.descriptionAnalytic models of two computer generated time series (Logistic map and Rossler system) and two real time series (ion saturation current in Aditya Tokamak plasma and NASDAQ composite index) are constructed using Genetic Programming (GP) framework. In each case, the optimal map that results from fitting part of the data set also provides a very good description of rest of the data. Predictions made using the map iteratively range from being very good to fair.
dc.description10 pages, 9 figures, submitted to Physical Review E
dc.identifierhttps://arxiv.org/abs/nlin/0607029
dc.identifierhttp://arxiv.org/abs/nlin/0607029
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/115652
dc.subjectChaotic Dynamics
dc.titleModeling Time Series of Real Systems using Genetic Programming
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