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learning and recognition
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  学习识别
     The flow diagram of CARcMSD which consists of such modules as dynamic adaptive learning and recognition mechanism, system model analysis and performance optimism, integrated design and expert system is illustrated. As a result, integrated design of RcMS is preliminarily realized.
     说明了包括动态适应学习识别机制、建模分析与性能优化、专家系统、集成设计等模块的计算机辅助可重构制造系统设计的流程 ,实现了可重构制造系统的集成设计 .
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  “learning and recognition”译为未确定词的双语例句
     〖WT12.HZ]SHIFT INVARIANT VISUAL PATTERN LEARNING AND RECOGNITION
     位移不变的视觉模式在线学习和识别
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     4. When the regular BP neural network is used, it may have poor performance because of bad convergence. So we choose improved BP neural network as classifier, which combines momentum and adaptive learning rate, and improve the learning and recognition efficiency.
     4.针对标准的BP神经网络常因收敛速度太慢而影响求解质量的问题,我们选用动量法和学习率自适应调整相结合的改进的BP神经网络作为分类器,从而提高了学习速度和识别率。
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     The introduce of CDF brings fuzzy property to the course of machine learning and recognition, which exactly reflects the fuzzy property of the thinking course of human brain.
     转化程度函数的引入使得生成和识别过程带有了模糊性,这恰好反映了人脑思维过程本身带有的模糊性。
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     In this paper a learning and recognition algorithm of Chinese finger alphabet flow based on multi features and multi classifiers is proposed, and a Chinese finger alphabet flow recognition system is built on the algorithm.
     文中提出了一种基于多特征多分类器的汉语手指语识别方法 ,并利用该方法建造了手指字母流识别系统 .
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     Using BP algorithm for learning and recognition, in this system, there are several great improvement. The results are satisfied.
     本系统对标准BP算法做了若干改进 ,从速度和识别率上都得到了明显的提高 ;
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  相似匹配句对
     On Learning
     论学习
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     On Research Learning
     研究性学习之浅见
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     Learning and Teaching
     教与学(英文)
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     ARCHITECTURE AND LEARNING
     建筑学与学建筑
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     The recognition is to?
     在识别单义域、矢量和工程图元时,既注重横向的关联又重视纵向的关联。
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  learning and recognition
The effects of fungal species, strain, age (5, 10-12, 20, and 30 d) and growth media (potato dextrose agar, peanut agar and corn agar) on the learning and recognition responses of the conditioned wasps were examined.
      
The ability to characterize global shape of an object using very few parameters facilitates shape learning and recognition.
      
Visual learning and recognition of 3-d objects from appearance
      
Performance characteristics, including estimates of learning and recognition times, are presented.
      
This paper deals with the issue of automatic learning and recognition of various conditions of a machine tool.
      
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Imperial Collection of Four”is a sutra and representation of Chinese antient books.So the digitalization works of this Collection will accumulate and provide experiences for other antient books.This system is the pre processing system of costumized OCR system for the digitized publication of “Imperial Collection of Four”.The main function of this system is to analysis and undterstand the page images scanned from the Collection, then to seperate the Chinese characters in them for the use of recognition and statistics,meanwhile...

Imperial Collection of Four”is a sutra and representation of Chinese antient books.So the digitalization works of this Collection will accumulate and provide experiences for other antient books.This system is the pre processing system of costumized OCR system for the digitized publication of “Imperial Collection of Four”.The main function of this system is to analysis and undterstand the page images scanned from the Collection, then to seperate the Chinese characters in them for the use of recognition and statistics,meanwhile extracting the layout structures for re building and publishing.The design of the system adoptted top down approaches with bottom up ones,and also adoptted automatic processings with manual correcting.In application, this system has been used to process a large numbers of page images,and has shown efficient and satisfiable performance.It provides a stable ground for the pre processing works,and builds up a good situation for learning and recognition procedures of the recogintion system.

《四库全书》是中文古籍的经典和代表。对《四库全书》的整理 ,可以为其它古籍的整理积累和提供经验。本系统属于《四库全书》电子版专用OCR系统的预处理配套系统 ,主要功能是对《四库全书》的页面图象进行分析和理解 ,分离图象中的汉字用于识别和统计 ,获取版面结构以便于重编和出版。《四库全书》属于手写木版印刷 ,版面有一定规范 ,但形式多样、结构复杂、图象质量和字体大小有差异 ,版面分析的难度很大。本系统采用了自顶向下方法与自底向上方法相结合、自动处理与人工修正相结合的设计思想。从实用情况看 ,本系统已经能够自动采用相应算法 ,处理多种规范和准规范的版面 ,并提供方便的人工辅助纠错功能 ,保障了预处理工作的顺利进行 ,也为识别系统的学习建库和识别创造了良好的条件。

Finger spelling language is the language that uses finger patterns to communicate. One finger pattern stands for one Chinese spelling alphabet, which is spelled into mandarin according to Chinese spelling scheme. In this paper a learning and recognition algorithm of Chinese finger alphabet flow based on multi features and multi classifiers is proposed, and a Chinese finger alphabet flow recognition system is built on the algorithm. Experiment shows that the system apparently outgoes the recognition...

Finger spelling language is the language that uses finger patterns to communicate. One finger pattern stands for one Chinese spelling alphabet, which is spelled into mandarin according to Chinese spelling scheme. In this paper a learning and recognition algorithm of Chinese finger alphabet flow based on multi features and multi classifiers is proposed, and a Chinese finger alphabet flow recognition system is built on the algorithm. Experiment shows that the system apparently outgoes the recognition system based on a single classifier.

手指语是用手指指式进行交流 ,一个指式代表一个汉语拼音字母 ,按照汉语拼音方案拼成普通话 .文中提出了一种基于多特征多分类器的汉语手指语识别方法 ,并利用该方法建造了手指字母流识别系统 .实验表明 ,该方法的识别效率明显优于基于单分类器的识别方法

Introduces an Chinese character recognizing system based on parallel neural network. After pre processing of the image, extracts three sorts of statistical features which are relatively stable ,anti jamming and reflecting structure information .They are input of neural network which is a multilayer BP network topology. Using BP algorithm for learning and recognition, in this system, there are several great improvement. The results are satisfied. PVM platform is used for realizing parallel processing...

Introduces an Chinese character recognizing system based on parallel neural network. After pre processing of the image, extracts three sorts of statistical features which are relatively stable ,anti jamming and reflecting structure information .They are input of neural network which is a multilayer BP network topology. Using BP algorithm for learning and recognition, in this system, there are several great improvement. The results are satisfied. PVM platform is used for realizing parallel processing of network.

介绍了一种基于并行神经网络的汉字识别系统。该系统进行汉字图象的预处理后 ,针对汉字平移、旋转、尺度变化 ,提取三类相对稳定且抗噪、反映汉字结构信息的统计特征作为神经网络的输入。神经网络采用叠层BP网 ,用BP算法进行训练、学习和识别。本系统对标准BP算法做了若干改进 ,从速度和识别率上都得到了明显的提高 ;用PVM网络并行平台虚拟成并行机 ,实现叠层BP网的并行处理

 
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