在机械故障诊断中，特征选择和分类器的参数优化都可以提高诊断精度。

Feature selection and parameters optimization of the fault classifier can enhance the fault diagnosis accuracy.

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本文针对汽车零部件销售量的预测开展了预测模型建模的研究，从销售历史数据特征研究入手，建立、选择并优化预测模型。

This thesis describes a sales forecast model with automobile inventory data. The data mining process starts with the character of historical sale data, establishes and optimizes forecasting models.

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本文在数控切削加工工艺参数优化方面主要进行了基于加工特征的刀具选择的研究。

In this paper, we mostly discussed the cutting tool choice based on the feature of cutting process as belongs to the optimization of NC machining process parameters.

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