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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The paper explores possible applications of Prior knowledge Support Vector Machine (P-SVM) based data mining algorithm in an automatic TCM syndrome classification system.

目的：探讨带先验知识的支持向量机（P-SVM）数据挖掘算法在中医证候信息自动分类中的应用。

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To solve the problem of automatic classification for ultrasound placenta images, we put forward an algorithm based on adaptive multiple neural networks.

针对胎盘超声图像自动分级这一临床应用问题，提出一种基于自适应多神经网络的分级算法。

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