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自动学习 meaning in English

automatic learning

Examples

  1. It ' s a lot of work building the automatic learning modules , while the actual program - . . there is not much except huge databases of very detailed , automatically generated go knowledge
    建立能够自动学习的模块要做很多的工作,而实际上的程序. . .除了非常细节的并且是自动产生的围棋知识的数据库之外,并没有太多的东西。
  2. “ junior researcher : a discover system that can solve the n queens problems ( n ? 4 ) on a constant computational complexity , ” proceedings of fifth jerusalem conference on information technology , israel , 1990
    发现并且总结人类智能活动基本模式之一。 “自动学习知识,并且自动而且有效利用学习到的知识去解决问题的通用能力”的一个基本活动模式。
  3. Because only the handwritten character on the form is need to be processed , this paper put forward a automatic geometric structure learning method based on the typographic and handwritten text recognition ( thr ) to find out the handwritten area
    由于表格文档中需要处理的信息大多数是人工填写的字符,本文提出了基于印刷体与手写体识别的表格几何结构自动学习方法。通过手写体与印刷体识别,自动确定手写体区域的位置和大小。
  4. For weight setting , first briefly introduces a known weight learning arithmetic based on rough set , and carrying through problem analysis and improvement , also introduces a weight vector gradually learning arithmetic , when user is n ' t satisfied with current weights , we can use it to revise weights gradually
    对于权重设置,先简要介绍了已有的一种基于粗糙集的权重自动学习算法,并对其进行了问题分析和改进,还介绍了一种权向量渐进学习算法,当用户对当前权值不满意时,可采用此算法进行逐步修正。
  5. Basing on the latest development of the expert system , this paper investigates the application of expert system in the network performance management , puts forward the method of using the fuzzy expert system based on fuzzy bp neural network in the network performance management , fully uses its capability of dealing with uncertainty knowledge and the superiority of the neural network at fuzzy reasoning , self - learning and the parallel processing etc . , to surmount the shortcomings of the traditional expert systems
    本文根据当前专家系统理论的最新发展,就专家系统在网络性能管理中的应用进行了研究,提出了在网络性能管理中使用基于模糊bp神经网络的模糊专家系统的方法,充分利用其在处理不确定性知识和神经网络在模糊推理、自动学习和并行处理等方面的优势,以克服传统专家系统的不足。
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Related Words

  1. 集中学习
  2. 并行学习
  3. 学习委员会
  4. 外语学习
  5. 参数学习
  6. 学习讨论
  7. 超量学习
  8. 学习锁匙
  9. 学习模拟
  10. 地址学习
  11. 自动学
  12. 自动学, 自动装置, 自动化理论
  13. 自动学习的
  14. 自动学习法
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