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This paper presents a combination of intelligent learning algorithm, the Support Vector Machine, and the recognition of star pattern in Celestial Navigation. Considering the star pattern recognition's character, noticing the advantages of SVM in learning competence, the paper proposes a solution to star pattern recognition with multi-kernel SVM. A multi-kernel algorithm bases on Genetic Programming...
The feature subset selection is critical for the real-time detection of the stored-grain insects based on image recognition technology. This study proposed a feature selection method based on artificial immune algorithm Immune (AIA). The single objective affinity evaluation function was developed to evaluate the feature subset by introducing the v-fold cross-validation training model accuracy and...
We propose genetic algorithms to improve the feature subset selection by combining the valuable outcomes from multiple feature selection methods. This paper also motivates the use of asymmetrical SVM, which focuses on two important issues. The first issue is the sample ratio bias, and the second issue is that the different types of misclassification error may have different costs, which lead to different...
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