分类数据

It is shown from theoretical analysis and experimental results of rotating platform imaging based on data acquired in a microwave anechoic chamber that the method proposed in this paper is promissing in the application of radar target recognition.

用微波暗室试验数据进行转台成象并对一维距离象三种模式进行识别分类的结果表明，本文所提出的方法用于研究雷达目标识别是有效的。

These above problems, which are very important and valuable in agricultural crops area monitoring, are currently less researched. Hence, in this paper, seven types of common texture and five vegetation indices were respectively added into TM multispectral bands to classify using three different methods, which are Minimum Distance, Maximum Likelihood and Support Vector Machine, and analyze the effect on winter wheat identification accuracy by comparing the classification results. The contexture include Mean, Variance, Homogeneity, Contrast, Dissimilarity, Entropy, Variance, Angular Second Moment and Correlation, and the vegetation indices are RVI, SAVI, RDVI, NDWI and SLAVI.

为此，该文将平均值、方差、均一性、反差、相异性、熵、角二阶矩、灰度相关7种纹理信息以及比值植被指数、土壤调整植被指数、重归一化植被指数、植被液态水含量指数、有效叶面积植被指数5种植被指数信息分别加入到TM多光谱数据中，同时还进行了最佳波段选择，利用最小距离、最大似然和支持向量机3种方法进行分类提取小麦，研究了不同特征信息对小麦测量精度的影响。

Firstly the Pauli decomposition is used to separate both the symmetric part and antisymmetric part of a multi-look image, then the Krogager decomposition is applied to extract the polarimetric feature of the symmetric image, at last an AdaBoost classifier is adopted to improve the classification performance.

首先利用Pauli分解分离出多视复图像数据的对称部分和非对称部分，然后利用Krogager分解提取出对称部分的极化特征，最后利用AdaBoost算法对所提取的极化特征进行分类。

Research show that wavelet varied-grid feature vector is characterized by high-stable and high-distinguish. Based on this vector the apery cognitron has solved the harmony of single-classifier and multi-classifier and the harmony of multi-feature. The data shows that the recognition rate and reliability has been effective improve.

实验数据表明，小波变网格特征向量具有稳定性高、区分性强的特点，基于此的智能字符识别机解决了单、多分类器协调和特征协调问题，在应用快速二值化方法加强处理实时性的同时有效地提高了车牌字符的识别率和识别可靠性。

We implement some of data mining arithmetic witch can be used in 's the CRM of commercial bank.

3实现了一些可以为银行的客户关系管理的数据挖掘算法，分别是：分类和预测的决策树方法、发现关联规则的Apriori算法。

With the development of Web, large numbers of documents are available on Internet. Automatic text categorization becomes more and more important for dealing with massive data.

随着网络的发展，大量的文档涌现在网上，自动文本分类成为处理海量数据的关键技术。

And,the different effects of gene recognition and classification of maximum self-similarity template construction method and averaging along alignment of maximum self-similarity template construction method are also discussed....

对肿瘤基因的识别实验结果表明：基于最大相似度的DP算法能够达到 10 0 %的识别率，本方法可以应用于基因芯片数据的识别、分类和基因疾病推断。

On the basis of sensitivity analyses using the PROSAIL model, the present study demonstrates an approach that uses a neural network based on image classification incorporated in PROSAIL for accurate retrieval of LAI. By including the soil reflectance index in the original PROSAIL model to take the place of soil background reflectance parameters that are difficult to determine, specific neural networks are constructed corresponding to individual types of vegetation cover.

在PROSAIL模型敏感性分析的基础上提出了一种基于影像分类的神经网络反演方法，引进了土壤反射指数用于替代原模型中难以确定的土壤背景反射参数，分别针对不同植被类型建立各自的神经网络，对经过大气纠正后的Landsat ETM+影像进行了模拟实验并同野外实测LAI数据进行比较。

The pattern spectrum entropy and the barycenter scale location of the spectrum curve were used to input data to the support vector machine to identify different types of signals.The experimental...

通过对实验数据的分析表明，形态学分析与支持向量机相结合的方法为轴承故障信号的分析、识别和分类提供了新的思路。

Also, as more specific data which correspond to input classifier are entered to the mould base register file, the overall mould base type selection becomes more accurate.

此外，更具体的数据相对应的投入分类输入到模具基地注册文件，但总的模具基地选型变得更加准确。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。