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Variable optimization for flood prediction
Abstract : In this paper, we present an heuristic based approach for feature selection in the context of flood prediction. Features are complex variables that represent aggregate values. We apply a preprocessing method on data in order to elicit relevant information that could not be easily accessible initially because it is split through several lines of a dataset. A genetic algorithm is used in order to search for the features that may prove the best performances for flood prediction.
https://hal.archives-ouvertes.fr/hal-00840738
Contributor : Wilfried Segretier Connect in order to contact the contributor
Submitted on : Wednesday, July 3, 2013 - 5:56:21 AM
Last modification on : Monday, March 14, 2022 - 11:08:09 AM
Contributor : Wilfried Segretier Connect in order to contact the contributor
Submitted on : Wednesday, July 3, 2013 - 5:56:21 AM
Last modification on : Monday, March 14, 2022 - 11:08:09 AM
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