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nearest neighbor method in Chinese

Pronunciation:
How to pronounce "nearest neighbor method""nearest neighbor method" in a sentence

Translationmobile phoneMobile

  • 毗鄰法,最近鄰法,最小樣方面積
  • 最小樣方面積

Examples

  • For phase space reconstruction of ship - radiated noise , using auto correlation function and mutual information to select the delay - time , and using false nearest neighbors method to select the embedding dimension
    從自相關(guān)函數(shù)及互信息嫡兩個方面討論了相空間重構(gòu)中延遲時(shí)間的選擇。
  • In order to reduce the disadvantageous influence of decision profiles ' scattering on fusion recognition , the decision profile is taken as target ' s feature vector and k - nearest neighbor method is applied to classify the target
    為減少目標(biāo)決策分布圖散布對融合識別效果的影響，提出采用k近鄰方法對目標(biāo)的決策分布圖進(jìn)行分類，以實(shí)現(xiàn)融合識別。
  • This paper uses kriging method to estimate rainfall in drainage basin , gives the results of kriging interpolation method , and compares it with inverse distance square method and nearest neighbor method
    為此，嘗試采用克里格方法對流域雨量進(jìn)行估值，并分別將年平均、月平均、時(shí)段雨量的插值結(jié)果與距離反比法以及最臨近法的插值結(jié)果進(jìn)行了對比性檢驗(yàn)。
  • The minimum embedding dimension can be determined by the false nearest neighbors method , and embedding dimension of determination component in noise condition can be determined precisely by this method which can avoid the phase space disturbance because of the higher embedding dimensions
    采用偽最鄰近點(diǎn)法確定最小嵌入維數(shù)，這種方法可以準(zhǔn)確地確定含噪信號中確定性成分的最小嵌入維數(shù)，避免嵌入維數(shù)過高導(dǎo)致相空間的混亂。
  • A variety of methods including the tabular comparison of data , the tabular comparison of similarity coefficient , the nearest neighbor method and the group - average method of hierarchical agglomerative classification were applied to investigate the forest communities in meizi lake area
    森林植被樣地中以喬木層樹種的重要值為指標(biāo)，采用紙條排隊(duì)法、群落相似系數(shù)分類法、最近鄰體法、組平均法對梅子湖森林植被樣地進(jìn)行數(shù)量分類。
  • Then , because of the characteristic of complex engineering systems like fighters , such as modeling difficulty , multiplicity work situations , difficulty and expensiveness for test , a new kind of fast fault predictor is designed based on an improved k - nearest neighbor method , which neither need math model of system nor need data for train and knowledge
    其次,針對殲擊機(jī)等復(fù)雜工程系統(tǒng)建模困難、工作情況多樣、試驗(yàn)困難且代價(jià)高昂的特點(diǎn),提出了一種改進(jìn)k近鄰密度估計(jì)方法,設(shè)計(jì)了一種完全既不需要系統(tǒng)數(shù)學(xué)模型也不需要故障訓(xùn)練數(shù)據(jù)和先驗(yàn)知識的實(shí)時(shí)故障預(yù)報(bào)器。
  • This recognition method integrates traits of nearest neighbor method and k - neighbor method . its basic principle is to improve recognition reliability with tow additive thresholds . in addition , ternary threshold neighbor recognition method ’ s fast arithmetic based on c - average clustering and huffman tree is put forward
    2 .本文在經(jīng)典統(tǒng)計(jì)模式識別方法的基礎(chǔ)上,結(jié)合了最近鄰識別法和k近鄰識別法的特點(diǎn),給出一種三閾值近鄰識別方法,其基本原則是在尋找未知樣本的近鄰時(shí),通過附加閾值的限制,進(jìn)一步提高識別的可靠性。

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