算法分类的英文

• algorithm classification

• "算法"英文翻译    algorithm
• "分类"英文翻译    classify
• "地址计算法分类" 英文翻译 :    address calculation
• "算法分解" 英文翻译 :    algorithm decomposition
• "算法分析" 英文翻译 :    algorithm analysis; analysis of algorithm
• "我想“算法分析" 英文翻译 :    analysis of algorithms
• "二分法分类" 英文翻译 :    binary sort; classification by dichotomy
• "方法分类图" 英文翻译 :    method taxonomy diagram
• "两分法分类" 英文翻译 :    dichotomous classification
• "湿法分类" 英文翻译 :    classification with water
• "文法分类" 英文翻译 :    grammar category
• "无法分类型" 英文翻译 :    unclassified
• "语法分类" 英文翻译 :    syntactic category; syntactic class
• "数列算法分析" 英文翻译 :    fib's algorithms analyses
• "中图法分类号" 英文翻译 :    clc
• "计算机算法分析" 英文翻译 :    analysis of computer algorithm
• "算法分析与设计" 英文翻译 :    analysis and design of algorithms
• "分类算法" 英文翻译 :    sorting algorithm
• "地面采矿法分类" 英文翻译 :    surface mining methods
• "梭织品织法分类" 英文翻译 :    type of weave
• "报文分类算法" 英文翻译 :    message digest algorithm (md5)
• "幻序分类算法" 英文翻译 :    magic order sorting algorithm
• "数据分类算法" 英文翻译 :    data-sorting algorithm
• "顺序分类算法" 英文翻译 :    sequential classification algorithm
• "阵列分类算法" 英文翻译 :    array sorting algorithm; arraysorting algorithmm

• 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。
• 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。
• 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。
• 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。
• 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。
• It can make for existing algorithms to be improved by analysing their advantages and disadvantages , and for users to choose a right algorithm for a specified dataset in order to receive a optimization clustering results . it is also the basis of further classifying popular algorithm and establishment of clustering benchmark . secondly , genetic algorithm ( ga ) - based clustering method is researched
  分析了现有算法的优缺点，以利于进一步改进；通过对现有算法的性能评述，有利于数据挖掘用户能够针对特定的数据集选择正确的算法，以获得最优化的结果和性能；也可以为现有算法分类比较的进一步研究以及建立聚类基准奠定基础。