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Genetic Algorithm for Feature Extraction in Landmine Detection (CROSBI ID 496698)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Antonić, Davor Genetic Algorithm for Feature Extraction in Landmine Detection // 2004 International Conference on Communications, Circuits And Systems. Chengdu, 2004

Podaci o odgovornosti

Antonić, Davor

engleski

Genetic Algorithm for Feature Extraction in Landmine Detection

A feature extraction method based on automatic feature generation and gradual reduction of the feature space using best search and genetic algorithm is described. Knowledge of the problem domain collected during reduction of the initial set of features is included into the implementation of the genetic algorithm. The fitness function for evaluation of the feature subsets is based on the Bayes classifier. The classifier is constructed for the particular feature subset using the training set of samples, and the classification ability of the particular feature subset is evaluated on samples from the test set. All generated feature subsets are stored, which allows further analysis and extraction of the best feature subsets with a different number of features. The proposed algorithm is tested on acoustic signatures of real landmines and other objects that can be found in a minefield.

genetic algorithm; feature extraction; landmine detection

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Podaci o prilogu

2004.

nije evidentirano

objavljeno

Podaci o matičnoj publikaciji

2004 International Conference on Communications, Circuits And Systems

Chengdu:

Podaci o skupu

2004 International Conference on Communications, Circuits And Systems

predavanje

27.06.2004-29.06.2004

Chengdu, Kina

Povezanost rada

Elektrotehnika, Računarstvo