介绍了一种基于二等分取样，并将预处理数据放大的故障判别神经网络。
An artificial neural network for fault distinguishing by sampling halve is presented, and the pretreatment data are amplified.
通过预处理数据之后，可以有效的提高曲面重构效率，改善自由曲线曲面模型质量。
Based on the processed data, computational efficiency of surface reconstruction is greatly increased, and model quality of free curve and surface is improved.
然而，在您执行分析以前，您需要提取并预处理这些数据。
However, before you can perform an analysis, you need to extract and pre-process this data.
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