根据实验数据和分析结果，建立了煤自然发火的预报系统。

Based on the experimental data and analysis results, a prediction system for spontaneous combustion was designed.

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实验结果表明，基于神经网络的预报技术能准确、有效地预报机组的振动趋势。

The result of experiment show the trend prediction technology with neural network can reflect practical vibration trend prediction of machine accurately and effectively.

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本文给出的平板边界层第一模式的稳定性分析和转捩区数值预报结果，与已有的实验结果一致。

The result in this paper about the first mode of stability and the numerical transition prediction about plate fit the result of experiments very well.

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