- author = "Katya Rodriguez-Vazquez",
- title = "Genetic Programming in Time Series Modelling: An Application to Meteorological Data",
- booktitle = "Proceedings of the 2001 Congress on Evolutionary Computation CEC2001",
- year = "2001",
- pages = "261--266",
- address = "COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea",
- publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ 08855-1331, USA",
- month = "27-30 " # may,
- organisation = "IEEE Neural Network Council (NNC), Evolutionary Programming Society (EPS), Institution of Electrical Engineers (IEE)",
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming, SISO NARMAX",
- ISBN = "0-7803-6658-1",
-
URL = "
http://ieeexplore.ieee.org/iel5/7440/20223/00934399.pdf?isNumber=20223",
-
URL = "
http://citeseer.ist.psu.edu/459278.html",
-
DOI = "
10.1109/CEC.2001.934399",
- abstract = "This paper describes a genetic programming approach for applications on prediction of real meteorological data. The well-know SISO NARMAX model is used to model and forecast this real time series. The evaluation of candidate models is based on a set of criteria taken into consideration in order to get the simpler and more accurate model for prediction",
-
notes = "CEC-2001 - A joint meeting of the IEEE, Evolutionary
Programming Society, Galesia, and the IEE.
IEEE Catalog Number = 01TH8546C,
Library of Congress Number = Applied to weather forecasting in Mexico.",
