Time Series Forecast with Anticipation Using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{conf/iwann/RiveroRDP05,
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title = "Time Series Forecast with Anticipation Using Genetic
Programming",
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author = "Daniel Rivero and Juan R. Rabunal and
Julian Dorado and Alejandro Pazos",
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year = "2005",
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pages = "968--975",
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editor = "Joan Cabestany and Alberto Prieto and
Francisco Sandoval Hern{\'a}ndez",
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publisher = "Springer",
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series = "Lecture Notes in Computer Science",
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volume = "3512",
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booktitle = "Computational Intelligence and Bioinspired Systems,
8th International Work-Conference on Artificial Neural
Networks, IWANN 2005, Proceedings",
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address = "Vilanova i la Geltr{\'u}, Barcelona, Spain,",
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month = jun # " 8-10",
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bibdate = "2005-06-27",
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bibsource = "DBLP,
http://dblp.uni-trier.de/db/conf/iwann/iwann2005.html#RiveroRDP05",
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keywords = "genetic algorithms, genetic programming",
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ISBN = "3-540-26208-3",
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DOI = "doi:10.1007/11494669_119",
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size = "8 pages",
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abstract = "application of Genetic Programming (GP) for time
series forecast. Although this kind of application has
been carried out with a wide range of techniques and
with very good results, this paper presents a different
approach. In most of the experiments done in time
series forecasting the objective is, from a consecutive
set of samples or time interval, to obtain the value of
the sample in the next time step. The aim of this paper
is to study the forecasting not only on the next
sample, but in general several samples forward. This
will allow the building of more complete prediction
systems. With this objective, one of the most widely
used series for this kind of application has been used,
the Mackey-Glass series.",
- }
Genetic Programming entries for
Daniel Rivero Cebrian
Juan Ramon Rabunal Dopico
Julian Dorado
Alejandro Pazos Sierra
Citations