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Journal Articles Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information Year : 2011

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.

Dates and versions

hal-00840738 , version 1 (03-07-2013)

Identifiers

Cite

Wilfried Segretier, Martine Collard, Laurent Brisson, Jean-Émile Symphor. Variable optimization for flood prediction. Revue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, 2011, 16 (3), pp.113-139. ⟨10.3166/isi.16.3.113-139⟩. ⟨hal-00840738⟩
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