蜂群特征选择

33rd Applied Imagery Pattern Recognition Workshop (AIPR'04) Pub Date : 2004-10-13 DOI:10.1109/AIPR.2004.41

H. Firpi, E. Goodman

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引用次数: 104

摘要

特征选择是模式识别的重要组成部分，有助于克服分类器和其他系统的维数问题。本文提出了一种基于粒子群优化的特征选择方法。利用他人数据和高光谱遥感数据进行实验，对算法的性能进行了测试。并与遗传算法进行了比较。

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Swarmed feature selection

Feature selection is an important part of pattern recognition, helping to overcome the curse of dimensionality problem with classifiers, among other systems. In this work, we introduce a feature selection method using particle swarm optimization. Experiments using data of others and hyperspectral remote sensed data are used to measure the performance of the algorithm. Its comparison with a genetic algorithm is also shown.

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33rd Applied Imagery Pattern Recognition Workshop (AIPR'04)

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