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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...
The feature subset selection is a key preprocessing part in the detection of the stored-grain insects based on the image recognition technology. According to the global optimization ability of the particle swarm optimization (PSO) and the superior classification performance of the support vector machines (SVM), this study proposed a method based on PSO and SVM to improve the classification accuracy...
In order to analyze the innovation capability in the complex multiple-attribute environment, a novel approach, used to evaluate the innovation capability of home appliance manufacturers, is presented. Furthermore, based on the assumption of a relationship between specific resources managed by manufacturers and their innovation capability, the authors suggested a reasonable evaluation indicator system,...
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