ID 原文 译文
49677 该方法首先应用快速傅里叶变换计算目标回波频谱，提取目标RCS与频谱熵值，然后滑窗分段计算基本特征的概率分布曲线，从而利用概率分布曲线提取出稳定的目标特征，最后利用支持向量机对目标实现分类。 This method first fast Fourier transform are used to calculate the target echo spectrum and extract the target RCS and spectrum entropy, and then the basic features of sliding window section calculation probability distribution curves, which using the probability distribution curve to extract the target characteristics of stability, the final classification using support vector machine (SVM) to the target.
49678 基于实测数据的分类结果表明，该特征具有较好的稳健性和分类性能，同时算法便于工程实现。 Based on the measured data of the classification results show that the feature has good robustness and classification performance, at the same time algorithm is convenient for engineering implementation.
49679 针对区间灰数的灰色聚类模型中指标权重确定的问题，借鉴信息熵的思想，引入灰色熵权确定指标权重，构造了基于熵权和区间灰数信息的聚类评估算法。 For grey clustering model of interval grey number determination of index weight problem, draw lessons from the idea of information entropy, introducing grey entropy to determine index weight, is constructed based on information entropy and interval grey number of clustering evaluation algorithm.
49680 该算法以区间灰数本身的信息为依据通过计算灰熵来得到聚类指标权重。 With interval grey Numbers for the algorithm on the basis of the information itself is obtained by calculating grey entropy to the clustering index weight.
49681 最后以实际问题为背景进行算例研究，结果表明由所提算法所得的归一化聚类系数矩阵区分度更好，验证了所提算法的有效性和可行性。 Finally in the actual problem as the background for case study, the results indicate that the normalized obtained by the proposed algorithm better clustering coefficient matrix differentiation, verify the feasibility and effectiveness of the proposed algorithm.
49682 为了解决考虑不确定性时仿真系统动态输出验证问题，提出一种基于数据特征的仿真系统动态输出验证方法。 In order to solve dynamic output considering uncertainty simulation system validation issues, put forward a method based on dynamic output characteristics of the data simulation system verification.
49683 首先在给出数据特征度量模型集概念的基础上，定义了形状、位置、频谱3方面的差异特征度量模型; In the first place in a given data features on the basis of the concept of measurement model set, defines the shape, location, frequency spectrum 3 differences characteristics measurement model;
49684 然后分别构建仿真系统输出和参考输出的标准序列，建立仿真系统和参考系统动态输出的数据特征矩阵; And then build the standard sequence of simulation system output and the reference output, building simulation system and the reference system of dynamic output of data characteristic matrix;
49685 再者，应用基于核密度估计的改进贝叶斯因子法实现仿真系统动态输出统计特性的一致性度量，从而完成动态输出的验证; Moreover, the application of improved bayes factor based on kernel density estimation method to realize the simulation system, the output statistical properties of dynamic consistency measures, so as to complete dynamic output verification;
49686 最后，通过实例应用对所提方法进行了验证。 Finally, an example application of the proposed method is verified.