nearest neighbor method造句
例句與造句
- 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(gè)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(duì)融合識(shí)別效果的影響，提出采用k近鄰方法對(duì)目標(biāo)的決策分布圖進(jìn)行分類(lèi)，以實(shí)現(xiàn)融合識(shí)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(duì)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(duì)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(hào)中確定性成分的最小嵌入維數(shù)，避免嵌入維數(shù)過(guò)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(shù)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(lèi)法、最近鄰體法、組平均法對(duì)梅子湖森林植被樣地進(jìn)行數(shù)量分類(lèi)。 - It's difficult to find nearest neighbor method in a sentence. 用nearest neighbor method造句挺難的
- 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(duì)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(shí)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(shí)別方法的基礎(chǔ)上,結(jié)合了最近鄰識(shí)別法和k近鄰識(shí)別法的特點(diǎn),給出一種三閾值近鄰識(shí)別方法,其基本原則是在尋找未知樣本的近鄰時(shí),通過(guò)附加閾值的限制,進(jìn)一步提高識(shí)別的可靠性。