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   classifier 在 计算机软件及计算机应用 分类中 的翻译结果: 查询用时:0.181秒
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classifier
相关语句
  分类器
    Research on Neuro-Fuzzy Classifier and Fuzzy Image Processing
    神经模糊分类器和模糊图象处理研究
短句来源
    Research on Discriminant Feature Extraction of Human Face and Classifier Design
    人脸特征抽取与分类器设计若干问题的研究
短句来源
    Resarch on a Classifier Using the ART-2 Neural Network
    ART-2神经网络分类器的研究
短句来源
    The Design of Hausdorff Measure-Based Image Classifier
    基于Hausdorff测度的图像分类器设计
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    The Design and Implementation of Classifier Based on Improved BP Model
    基于改进的BP网络模型的分类器的设计与实现
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  量词
    Application of Interaction Between Classifier and Its Correlate in Chinese Phrase Disambiguation
    量词与相关成分的制约关系在汉语短语排歧中的应用
短句来源
    One of the most difficult points in Chinese text automatic analysis is to analyse and disambiguate classifier and phrase containing classifier.
    量词和含量词短语的分析排歧是汉语文本自动分析中的难点之一 .
短句来源
    In this paper, we conclude interaction between classifier and its correlate, such as noun, numeral and adjective, and illustrate its application in semantic disambiguation and structure disambiguation.
    本文总结了量词与名词、数词、形容词在语法和语义上的相互制约关系 ,并说明了如何将这些制约关系应用于相关短语的词义排歧和结构排歧 .
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  “classifier”译为未确定词的双语例句
    Experimental results for speaker identification indicate that this classifier network and its training algorithm attain 98. 4% identification accuracy using 5 second clean speech utterances and 85. 1% accuracy using 15 second telephone speech utterances with a 10 speaker population.
    实验结果表明,这种分类网络及其学习算法在30个说话人辨认应用中利用5秒清晰语音获得98.4%的辨认率,利用15秒电话语音获得85.1%的辨认率。
    A New Distance Classifier and Its Application
    一种新的距离分类方法及其应用
短句来源
    INVESTMENT RISK RULES MINING IN INSURANCE BUSINESS DATA WITH CLASSIFIER METHOD
    用决策树方法挖掘保险业务数据中的投资风险规则
短句来源
    An Automatic Chinese-Text Classifier Based on Vector Space Model
    一个基于向量空间模型的中文文本自动分类系统
短句来源
    Research on Handwritten Chinese Character Recognition Using Feature Fusion and Modular RBF Classifier
    特征融合用于手写体汉字识别研究
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  classifier
Design of a new type of integrated classifier for network intrusion detection systems
      
Based on the analysis of the network intrusion detection model, a new design scheme for the integrated classifier is proposed.
      
Second, support vector machine (SVM) based on Gaussian kernel is used as a classifier which discriminates the runway from other candidate regions.
      
The proposed method was then combined with the hidden Markov model (HMM) to determine the auto-regressive (AR) coefficients for each interval used for feature extraction, with the HMM as a classifier.
      
In classification, the empirical risk of erroneous classification by the Bayes empirical classifier is used as a measure for the quality of distribution density estimates.
      
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The application of digital pattern recognition is an attractive in the fields of aeronautics and astronautics. This paper presents the properties of Fourier Descriptor(FD) of the contour of plane image and how to extract the FD as the feature of aeroplane image contour for classification. On the basis of the comparison of certain classifiers Ho-Kashyap classifier, compound classifier and K-nearest neighbor classifier. We select the nearest neighbor classifier as our classifier for...

The application of digital pattern recognition is an attractive in the fields of aeronautics and astronautics. This paper presents the properties of Fourier Descriptor(FD) of the contour of plane image and how to extract the FD as the feature of aeroplane image contour for classification. On the basis of the comparison of certain classifiers Ho-Kashyap classifier, compound classifier and K-nearest neighbor classifier. We select the nearest neighbor classifier as our classifier for the recognition of aeroplane pattern. The methods of their realization are subiected respectively and the result of the computer simulation is given at last.

在航天和航空领域中,数字模式识别是很有意义的。本文首先介绍付里叶描绘子的定义及有关特性,然后讨论如何利用付里叶描绘子抽取飞机图形的特征。在特征抽取之后,采用了特征选择和分类器性能联系起来的方法,对飞机图形进行分类识别。作者在对Ho-Kashyap分类器、复合分类器、K近邻分类器进行了计算机仿真的基础上,选取了最近邻分类器对飞机图形作分类识别。文中介绍了实现方法并给出了分类试验的结果。

The object of this contribution is to explain the necessity of using Fuzzy Mathematics to recognize the pattern and employing the method of automatic recognition of the mechanical parts based on the Membership's principle of Fuzzy sets. This article looks briefly at the recognition system and the recognition classifier designed by the micro computer Z-80. The authers endeavour to enumerate the recognition classification of screw and screw cap and draw up a recognition program. The results of recognition...

The object of this contribution is to explain the necessity of using Fuzzy Mathematics to recognize the pattern and employing the method of automatic recognition of the mechanical parts based on the Membership's principle of Fuzzy sets. This article looks briefly at the recognition system and the recognition classifier designed by the micro computer Z-80. The authers endeavour to enumerate the recognition classification of screw and screw cap and draw up a recognition program. The results of recognition can be displayed on the fluorescent screen or may appear in print.

本文说明利用模糊数学识别模式的必要性,以及根据模糊集隶属原理自动识别机械零件的方法。文中介绍了识别系统以及利用Z-80微型机设计的识别分类器。列举了螺纹与螺栓头的识别分类,编制了识别程序。识别结果可以显示于荧光屏上或打印输出。

In this paper the available approaches of the automatic inspection of the weldingdefects using a developed microcomputer image processing system are discussed.A“group-difference method”has been presented to obtain better result for theimage sharpening of the blurred welding defect x-ray picture.A useful concept of the“Weighted-Freeman's chain code”is used for simplifyingthe boundary tracking and feature extraction of some geometrical configurations.A multi-level recognition system-tree classifier is designed.It...

In this paper the available approaches of the automatic inspection of the weldingdefects using a developed microcomputer image processing system are discussed.A“group-difference method”has been presented to obtain better result for theimage sharpening of the blurred welding defect x-ray picture.A useful concept of the“Weighted-Freeman's chain code”is used for simplifyingthe boundary tracking and feature extraction of some geometrical configurations.A multi-level recognition system-tree classifier is designed.It simplifys the pro-cess of recognition and makes it more effective.

本文叙述在微机扩展的图象处理系统上,进行焊接缺欠自动检测的尝试。提出了“模块差分法”来加强模糊 x 光片图象的锐化效果;运用了加权 Freeman 码以利某些几何图形的边缘轮廓跟踪及特征抽取;设计了多级识别系统——树状分类器,使识别过程简化、有效。

 
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