In practice applications, generic near neighbor classifier was limited for the amount of pattern processing was very large and was difficult to get the best data quickly on line.
在实际应用中，一般的近邻分类器由于模式处理量过大，且难以在线和快速获得最佳近邻数等原因，而受到了限制。
In the system, we get the hidden information by on-line or off-line analyzing the data in user log. According to the result of data mining, the performance of system is Evaluated.
并且对用户日志数据通过离线或在线的方式进行分析，得到用户的培训效果，以此分析评价系统性能。
By some pictures in other places of furnace, the trained network is able to get the on-line furnace's temperature distribution, and offer the science data for furnace's temperature.
摄取空间其它部位火焰图像，经过已训练的网络，可以得出炉膛在线的温度分布，为锅炉测温提供了有力数据。
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