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识别对象 meaning in English

recognized object

Examples

  1. In the first place , character images were processed with smooth , contour , nonlinear normalization algorithms , and then different character features
    本文首先对字符图像进行了平滑、取轮廓、非线性归一化等处理,然后,针对不同的识别对象,提取了多种字符特征。
  2. New geological logging technical method of pyrolysis gas - chromatogram and gas chromatography is briefly introduced to evaluate light crude oil zone and residual oil zone here , involved in geology , geochemical pyrolytic parameter and geophysical method
    本论文主要是利用热解色谱、气相色谱等地质录井新技术评价手段,结合地质、地球化学及地球物理方法,针对轻质油层,残余油水层识别对象开展研究。
  3. In the article , neural pattern recognition is considered as the recognition method and vehicles " license plates is taken as recognition object , which is to improve the recognition rate of the character recognition of vehicles " license plates under noising circumstance
    本文选择神经网络模式识别技术作为识别的方法,以车牌字符作为识别对象,进一步研究在干扰情况下的车牌识别问题,以提高车牌识别系统的整体识别能力。
  4. The design is to simulate the process of human . it can adjust the parameters of illation machine ; adopt different recognition strategies according to different states and circumstances with which the recognition object deals . at the same time , it should consider each recognition performance aim
    该识别器的设计是模仿人识别字符的行为过程,它可以根据识别对象所处的不同状态和不同环境,调整推理机的参数和采用不同的识别策略以及选择不同的反馈结构。
  5. The basic conception of machine learning is to load the human knowledge and methods as well as the knowledge concerning the objects to be recognized by classification into the computer , which works out the rules of classified recognition and the programs of analysis ; the automatic classification of the text is to judge on the text unclassified in accordance with the rules of recognition and the programs of analysis , aiming at classifying the text
    本文重点讨论基于机器学习的汉语文本自动分类方法。机器学习方法的基本思想是将人的知识和方法以及关于分类识别对象的知识输入机器中,产生分类识别的规则和分析程序;而文本的自动分类则是根据识别规则和分析程序对未分类文本进行判断,达到分类的目的。

Related Words

  1. 形象识别
  2. 识别种
  3. 模式识别
  4. 网络识别
  5. 识别密码
  6. 分子识别
  7. 识别灯标
  8. 限制性识别
  9. 接续识别
  10. 识别编码
  11. 识别电路
  12. 识别段
  13. 识别法
  14. 识别番号
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