With the full use of computer vision and neural networks, this paper presents an automatic classification method in the stored-grain pests.

综合利用计算机视觉技术和自组织神经网络技术，实现了对粮仓害虫的无损检测。

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This paper proposes a new automatic classification method based on support vector machines to separate non-active objects from active objects via their spectra.

文章提出一种新的基于支撑矢量机的非活动天体与活动天体的自动分类方法。

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At the same time, the automatic classification method to the defects, the nerve net classified units, and the experts system to classifying the surface quality were reviewed.

同时，对缺陷的自动分类方法、神经网络分类器和用于对带钢质量进行自动分级的专家系统做了简要介绍。

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