The classifying precision is decreased with the increase of the rotor rotating speed, and more seriously for the coarse part.
转笼转速增加使分级精度降低，但对机内粗粉料的分散影响较大。
Experiments show that the method can improve the simplicity and the prediction precision of classifying rules.
试验表明，该算法有效提高了分类规则的简明性和预测精度。
However, classifying hyperspectral images only with traditional classification algorithms will result in low classification precision, data redundancy and great waste of resource.
但仅用传统分类算法对高光谱图像分类，会导致分类精度降低、空间数据冗余和资源的极大浪费。
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