Performance of genetic programming to extract the trend in noisy data series-Reference-Cited by-同舟云学术

Performance of genetic programming to extract the trend in noisy data series

Published:2006-10 Issue:1 Volume:370 Page:104-108
ISSN:0378-4371
Container-title:Physica A: Statistical Mechanics and its Applications
language:en
Short-container-title:Physica A: Statistical Mechanics and its Applications

Author:

Borrelli A.,De Falco I.,Della Cioppa A.,Nicodemi M.,Trautteur G.

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Statistics and Probability

Reference8 articles.

1. Time Series Prediction: Forecasting the Future and Understanding the Past;Weigend,1994

2. Genetic Programming, On the Programming of Computers by Means of Natural Selection;Koza,1992

3. P.J. Angeline, Evolving predictors for chaotic time series, in: Proceedings of SPIE Application and Science of Computational Intelligence, vol. 3390, 1998, pp. 170–180.

4. Genetic programming polynomial models of financial data series;Iba,2000

5. Estimating stock price predictability using genetic programming;Duan,2001

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