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   集成识别 的翻译结果: 查询用时:0.247秒
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集成识别
相关语句
  integrated recognition
     Every method has its merits and shortcomings. The direction of character recognition is integrated recognition.
     不管是子空间识别方法还是已经发展成熟的其它方法,都有其优点和缺点,字符识别的方向是多种方法的集成识别
短句来源
  “集成识别”译为未确定词的双语例句
     A Probe into Integration Recognizing of Handwritten Chinese Characters
     手写体汉字集成识别技术的研究
短句来源
     The experiments demonstrated that the gridding feature network has a good ability of robust for salt & pepper noise; the Zernike moments network can be employed successfully for rotation-invariant characters. Combining two features for two-level NN classifiers to recognize character can obtain the correct recognition rate of 98%.
     (5)对采集到的车轮字符进行识别实验,实验表明了网格特征与神经网络相结合具有较好的椒盐类噪声容错性,Zernike矩特征与神经网络相结合具有较好的旋转不变性,把两个特征相结合使用设计的一个两级神经网络分类器串级集成识别系统对车轮字符识别样本的正确识别率达98%。
短句来源
     Recognizing small handwritten character set with this new method and constructing an integrated reorganization system with subspace classifier and BP classifier are the main objects in this paper.
     本文研究的目的就是将这一新的识别方法应用于手写字符的小字符集识别,并结合神经网络识别方法构造一个实用的集成识别系统。
短句来源
  相似匹配句对
     A Probe into Integration Recognizing of Handwritten Chinese Characters
     手写体汉字集成识别技术的研究
短句来源
     Face Recognition by Combining Multiple Classifiers
     集成多分类器的人脸识别
短句来源
     recognition is finished.
     进行识别
短句来源
     Facial expression recognition.
     表情识别
短句来源
     Logarithmic Amplifiers and Their Integration
     集成对数放大器
短句来源
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  integrated recognition
Integrated Recognition and Interpretaion of Speech for a Construction Task Domain.
      


Field observational and operational areas for precipitation enhancement were established in Henan, Shandong and Jilin Provinces, the stratiform cloud numerical model was improved, and a new conception model of rain enhancement in Stratiform clouds and corresponding seeding condition criteria and operation indexes are proposed. The main results also include comprehensive real-time identification techniques of seeding conditions, the establishment of the provincial numerical simulation forecasting system of meso-scale...

Field observational and operational areas for precipitation enhancement were established in Henan, Shandong and Jilin Provinces, the stratiform cloud numerical model was improved, and a new conception model of rain enhancement in Stratiform clouds and corresponding seeding condition criteria and operation indexes are proposed. The main results also include comprehensive real-time identification techniques of seeding conditions, the establishment of the provincial numerical simulation forecasting system of meso-scale stratiform clouds, comprehensive techniques of precipitation enhancement and the operating procedure. A great deal of field observational and operational experiments were carried out in convective clouds in north-west Hubei Province, and a 3-D convective cloud seeding model was used to forecast precipitation and to conduct seeding numerical test. The optimized seeding location, seeding time and the dose of seeding agent were provided. Further more, a kind of rocket with high nucleating rate was developed, and the technological flow for operation control was designed. All of these measures greatly improved the precipitation enhancement in convective clouds.

该项目在河南、山东、吉林 3省建立了层状云人工增雨外场观测作业试验区 ,研制了层状云数值模式 ,结合分析得出了层状云人工增雨新的概念模型、相应的催化条件判据和作业指标 ;研制了催化条件的飞机实时识别技术和地面综合集成识别技术 ;建立了中尺度层状云系数值模拟预报的实时业务和省级的人工增雨综合技术系统 (催化条件综合识别判据、实时监测识别技术、催化指标和作业决策系统等 ) ,提出了相应的作业流程。在鄂西北 (十堰市 )对流云人工增雨作业试验区进行了大量外场观测和作业试验 ,用研制的三维对流云催化模式进行实时预报和催化数值试验 ,初步提出了催化的最佳部位、时机和剂量 ;开发应用了高成核率火箭 ;用雷达识别作业条件并建立了指挥作业的技术流程 ,因而大大减少了作业的盲目性 ,提高了对流云人工增雨作业的科学性。

Handwritten Chinese character recognition by machine is a challenging task in pattern recognition.It can′t obtain perfect recognition rate by any single method.In this paper,the peculiarity of method in Chinese character recognition and the problem unsolved in characters integrating recognition are analyzed,and the anthor presents a method of handwritten Chinese character integrating recognition with the investigating result of perceive science.

手写体汉字的计算机自动识别是一个高难度的模式识别问题 ,用单一识别方法难以达到理想的识别率 .本文首先分析了汉字识别方法的基本特点以及字符集成识别技术中存在的问题 ,然后结合认知科学的研究成果 ,提出了手写体汉字层次集成识别的思想 .

In this paper, five features for handwritten digits based on Kirsch algorithm are extracted, and five neural networks with BP learning algorithm are used to train the five features respectively. A BP neural network is finally used to integrate the outputs of the five sub-networks together. Experiments show that the proposed approach is promising. ;;;

采用边缘检测算子对手写体数字进行特征提取,分别得到数字的水平、垂直、左右对角线方向特征以及全局特征,然后利用Kirsch5个改进的神经网络分类器分别对这种特征进行训练和初分类,最后再利用一个神经网络对个子网络的识别结果进行集成识别,取得BP5BP5了较好的实验效果。

 
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