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.
特征选择及分类器参数优化是提高分类器性能的两个重要方面，传统上这两个问题是分开解决的。
Feature selection and classifier parameter optimization are two important aspects for improving classifier performance and are solved separately traditionally.
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.
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.
提出一种车加工特征的自动识别和优化选择方法。
This paper presents an approach for recognizing and selecting features for parts to be turned.
研究提出局部脱耦方法用以简化问题规模、缩小搜索空间，选择特征统计算法进行优化方案的搜索。
In this paper, local decoupling method is put forward to simplify the scale of optimization problem and to reduce its searching scope.
分析了图像小波变换后小波系数的特征，讨论了优化小波系数的小波基选择问题。
Have analyzed properties of wavelet coefficients obtained from an image through wavelet transform, and discussed how to select wavelet basis to optimize wavelet coefficients.
织物起皱的特征选择是一个组合优化问题，其具有非线性等复杂特性。
Fabric wrinkle feature selection is a matter of combine optimizes, because it has complex character, such as non-linearity etc, so it is very difficult to get the answer through routine method.
其次，本文研究了区域形状特征提取及基于PCA的特征选择方法，通过对区域特征进行优化选择，构造准确描述目标特性且维数较低的特征。
Secondly, the method of region feature extraction and optimal feature selection are studied based on PCA, and the effective features are constructed for the target by the analysis of the PCA.
由于在小波降噪中不同的阈值适应的信号特征不同，采用多种小波阈值对城市轨道交通牵引供电系统谐波信号进行降噪，并从中选择了最优的降噪阈值，达到对信号的优化处理。
Due to different wavelet threshold fit for different characteristic of signal, various wavelet de-noise threshold was used to decline the harmonics of signal and the best threshold was chosen.
数值仿真和柴油机故障特征选择实验结果表明，新方法可以快速、有效地求得优化特征集，是求解特征选择问题的一个较好方案。
According to the results of data simulation and Diesel engine fault feature selection example, it is proved that this scheme can get optimal feature subset...
试验证明，该专家系统能根据前端数据的特点与具体特征分析方法的特点，选择最佳特征优化方法，给出表征能力较好的特征集，应用于目标识别时能大大提高识别准确率。
Experiments proved that this expert system can select the optimal method for feature analysis according to the characteristics of data and those methods for analysis, and can provide a fe...
试验证明，该专家系统能根据前端数据的特点与具体特征分析方法的特点，选择最佳特征优化方法，给出表征能力较好的特征集，应用于目标识别时能大大提高识别准确率。
Experiments proved that this expert system can select the optimal method for feature analysis according to the characteristics of data and those methods for analysis, and can provide a fe...
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