Using genetic algorithms for improved discrete sequence prediction

Ekárt, Anikó Using genetic algorithms for improved discrete sequence prediction. IN: Proceedings of the International Conference on Artificial Intelligence, IC-AI '03, June 23 - 26, 2003, Las Vegas, Nevada, USA. Arabnia, Hamid R.; Joshua, Rose and Mun, Youngsong (eds) CSREA.

Abstract

A statistics-based method using genetic algorithms for predicting discrete sequences is presented. The prediction of the next value is based upon a fixed number of previous values and the statistics offered by the training data. According to the statistics, in similar past cases different values occurred next. If these values are considered with the appropriate weights, the forecast is successful. Weights are generated by genetic algorithms.

Divisions: Engineering & Applied Sciences > Computer science
Engineering & Applied Sciences > Computer science research group
Event Title: 2003 International Conference on Artificial Intelligence
Event Type: Other
Event Dates: 2003-06-23 - 2003-06-26
Uncontrolled Keywords: artificial intelligence
Full Text Link: http://www.scopus.com/inward/record.url?scp=1642300422&partnerID=8YFLogxK
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Authors: Ekárt, Anikó

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