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算法分类 meaning in Chinese

algorithm classification

Examples

  1. We evaluate error rate , scalability , time , tree nodes numbers by 12 - cross validation method . experiment has demonstrated that new algorithm greatly reduces the error rate and has good scalability at the same time
    实验中采用12交又验证方法,对算法分类准确率、伸缩性、时间、树节点个数等几个指标进行评估。
  2. A learning algorithm of compressed candidates based on bayesia belief network is developed to solve slow running problem of traditional bayesian belief network constructing algorithm
    摘要针对传统算法分类速度较慢的不足,改进传统算法中候选变量的搜索方式,提出用依赖度量函数测量变量之间的依赖程度,得出压缩候选的贝叶斯信念网络构造算法。
  3. Then we describe the lastest researches and developments on multicast congestion control algorithms and classify them from different aspects . furthermore , different algorithms are analyzed and compared , and some problems are pointed out
    然后讨论了组播拥塞控制算法分类的标准,比较和分析了现有组播拥塞控制算法的优缺点,指出了其中的不足之处。
  4. There are two different visualization approaches of 3d - data sets , one is surface rendering algorithm , the other is volume rendering algorithm . the latter is the emphasis of the paper . the paper describes its optical modek algorithm classification and discusses its future applications and problems to be solved
    体绘制算法是本文的研究重点,本文介绍了体绘制算法的光照模型、算法分类和发展方向,并以光线投射算法为例,详细的论述了体绘制算法的原理、流程、关键技术。
  5. In algorithms , classification algorithms are divided into two cases : one for known statistical distribution model and the other for unknown statistical distribution model . four classification algorithms , the bata - prime statistic model fusing quadratic gamma classifier , based on sar image rcs reconstruction and space position mode , on the mixed double hint layers rbfn ( mdhrbfn ) model and on the self - adapt fuzzy rbfn ( afrbfn ) model , are derived . the problems , including how to further improving the class ratio of the bayes decision , decreasing the dependence on the statistical model and directly providing the adapted algorithm with samples , are solved
    提出了基于径向基函数神经网络( rbfn )的双隐层混合网络( mdhrbfn )模型,解决了标准神经网络在具体sar图像地物分类中分类类别数目不够和分类精度差的问题;提出了基于模糊推理系统的自适应模糊rbfn分类( afrbfn )模型,兼顾通用性与精确性,增强人机交互能力,进一步提高了算法分类率。
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Related Words

  1. boor算法
  2. 存取算法
  3. 缓冲算法
  4. 图解算法
  5. 算法规则
  6. 心动算法
  7. 符号算法
  8. 随机算法
  9. 归并算法
  10. 简算法
  11. 算法翻译, 算法解释
  12. 算法分解
  13. 算法分析
  14. 算法分析与设计
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