对真实脑电数据的分类正确率达到89%。
The classification accuracy of experiment EEG signals reach 89%.
这是一个很好的关于BP神经网络的程序，用于两类数据的分类。
This is a very good network of BP procedures for the two types of data classification.
高维遥感数据的分类与识别与传统的多光谱遥感分类技术具有明显的区别。
Classification and pattern recognition of high dimensional remote sensing data are distinctly different from traditional multi-channel remote sensing classification techniques.
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