最近邻法的英文

• nearest neighbor method

• "最近"英文翻译    recently; lately; of late
• "法"英文翻译    law
• "k-最近邻法" 英文翻译 :    k-nearest neighbor method; k-nearest neighbour method
• "毗邻法,最近邻法,最小样方面积" 英文翻译 :    nearest neighbor method
• "最近邻" 英文翻译 :    nearest neighbors; nearest-neighbor
• "近邻法,最短矩离法" 英文翻译 :    nearest neighbour method
• "最近邻分析" 英文翻译 :    nearest neighbor analysis; nearest neighbour analysis; nearest-neighbour analysis; nearestneighbouranalysis
• "最近邻能" 英文翻译 :    nearest neighbor energy; nearestneighbourenergy
• "最近邻频率" 英文翻译 :    nearest neighbor frequency; nearest neighbour frequency
• "最近邻顺序" 英文翻译 :    nearest neighbor sequence
• "最近邻体法" 英文翻译 :    nearest-neighbor
• "最近邻序列" 英文翻译 :    nearest neighbor sequence
• "最近邻域" 英文翻译 :    nearest neighbor
• "平均最近邻距" 英文翻译 :    mean distance to nearest neighbor
• "最近邻分析法" 英文翻译 :    nearest neighbor analysis
• "最近邻近似法" 英文翻译 :    nearest neighbor approximation
• "最近邻统计量" 英文翻译 :    nearest neighbor statistic
• "最近邻域分类" 英文翻译 :    nearest neighbor classification
• "第三最近邻原子" 英文翻译 :    third nearest neighbor
• "第一最近邻原子" 英文翻译 :    first narest neighbor
• "最近邻次序分析" 英文翻译 :    nearest neighbour analysis
• "最近邻顺序分析" 英文翻译 :    nearest neighbor sequence analysis; nearest neighbour sequence analysis
• "最近邻位顺序分析" 英文翻译 :    nearest-neighbor sequence analysis
• "最近邻相互作用" 英文翻译 :    nearest neighbor interaction
• "最近邻重复取样" 英文翻译 :    nearest neighbor resampling

• In this thesis , the method of similar estimation ( the nearest neighbor ) is applied to classify the feature character
  在特征字的分类过程中，采用了相似形度量(最近邻法)的方法。
• The results are compared with the genetic algorithm in combination with the k - nearest neighbor ( knn ) classification rule
  最后，将比较的结果再与基因演算法结合k个最近邻法进行比较。
• Finally we analyze common data association algorithm such as nearest neighbor algorithm 、 probability data association algorithm and joint probability data association algorithm and adopt the nearest neighbor algorithm in our simulation system
  然后对当前比较常用的数据关联算法最近邻法、概率数据关联( pda )算法以及联合概率数据( jpda )算法进行了分析选择。
• This study employed six data mining methods , including logistic regression , discriminant analysis , artificial neural networks , k - nearest - neighbors , na ? ve bayes classifier , and classification trees , to find the most important factors of earthquake - caused landslide
  本研究利用六种资料探勘方法，包括逻辑回归、判别分析、类神经网络、最近邻法、贝氏分类器、分类树，探讨影响地震引起山崩的重要因子。
• The thesis presents a expert system for identifies power quality disturbance signal , after compare the artificial neural network , nearest neighbors , fuzzy decision , and expert system . we bring forward the project flexible rule - based expert system , according to the characteristic inspection and measure system , and has a deep research on the problem of this system . this project for disturbance classifies has lower mistake ratio and facility maintenance
  采用专家系统的方法进行模式识别，在对神经网络、最近邻法、模糊逻辑和专家系统及一些交叉方法等模式识别方法进行比较分析的基础上，根据电能质量信号故障分析的特点，提出了采用规则基专家系统的方法，该模式识别方法具有便于扩展、修改和识别率高等特点。