sampling cluster中文是什么意思

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中文翻譯
造句

成團(tuán)抽樣

sampling n. 1.取樣(品)，取標(biāo)(本)〔指行動或程序〕。 2. ...
cluster n. 1.叢集；叢；(葡萄等的)串，掛；(花)團(tuán)；(秧) ...
cluster sampling 成串采樣; 叢聚抽樣; 分群抽樣; 分組抽樣; 分組取樣; 集團(tuán)抽樣; 聚類抽樣; 類集抽樣; 密集取樣; 群集抽樣; 群組抽樣; 整群抽樣
cluster random sampling 分群抽樣法; 整群隨機(jī)抽樣
simple cluster sampling 單純整群抽樣
stratified cluster sampling 分層集合體抽樣; 分層整群抽樣
stratified multistage cluster sampling 分層多級整群抽樣
stratified one-stage cluster sampling 分層單級整群抽樣
stratified single-stage cluster sampling 分層單級整群抽樣
a cluster 自力村碉樓群
a cluster of 一串/叢; 一串，一束，一群; 一群、一組; 一群；一組
cluster n. 1.叢集；叢；(葡萄等的)串，掛；(花)團(tuán)；(秧)蔸；組。 2.(蜂、人等的)叢，群，群集。 3.【物理學(xué)】聚集，組件；【化學(xué)】類族，基；(原子)團(tuán)；【天文學(xué)】星團(tuán)。 4.【美軍】(表示又一個同等勛章的)金屬片。 5.【語音】音叢，音群，義叢，詞組。 6.集中建筑群〔在一大片土地上集中興建住宅，以提供較大的公共休息場所〕。 in a cluster 成串的；成團(tuán)[群]的。 vi.,vt. (使)成群；(使)群集。 clustered column 【建筑】簇柱。
sampling n. 1.取樣(品)，取標(biāo)(本)〔指行動或程序〕。 2.樣品，標(biāo)本。 3. 剽竊拼湊歌曲。
a cluster of buildings 一群建筑物
a cluster of butterflies 一群蝴蝶
a cluster of flaws 密集區(qū)缺陷
a cluster of grapes 葡萄
a cluster of islands 一群海島
a cluster of stars 一個星團(tuán)
abell cluster 阿貝爾星系團(tuán)
aggression cluster 精神沖擊彈
arches cluster 圓拱星團(tuán)
argolis cluster 阿勾里斯星群
aromatic cluster 芳香族稠環(huán)
artificial cluster 人為群體

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Besides , considering the differences of the galactic gravitational potential models , there is different influence for the distribution morphologies of all of the orbital parameters of the selected sample clusters
此外，不同的銀河系引力勢模型對所選樣本的軌道參數(shù)的分布形態(tài)也有不同程度的影響。
The differences in orbital morphologies due to different potentials is slighting , however , given a certain potential , for clusters that have perigalactic distance smaller than 1 kpc , some orbits may exhibit a chaotic behavior . the correlation between the metallicity of samples and the orbital morphologies is unclearly ; ( 4 ) it is found that the semi - major axis , apogalactic distance and azimuth period of 29 sample clusters are changed with their metallicity similarly , but a obvious correlation is seen between orbital eccentricity and metallicity . there is a fraction of 24 % of the sample clusters with eccentricities lower than 0 . 4
不同的引力勢模型對球狀星團(tuán)軌道的具體形態(tài)影響不大，在給定的引力勢模型下，當(dāng)某些星團(tuán)的運(yùn)動軌道穿越距銀心1kpc附近的區(qū)域時會出現(xiàn)“混沌”現(xiàn)象： ( 4 ) 29個樣本星團(tuán)的軌道半長軸、遠(yuǎn)銀心距和方位周期隨金屬度的變化規(guī)律基本相似，樣本星團(tuán)的金屬度與其軌道形態(tài)之間的相關(guān)性并不明顯，然而軌道偏心率與金屬度有關(guān)，對于所選的暈族樣本星團(tuán)而言，大約有24的樣本星團(tuán)的軌道偏心率低于0 . 4 。
The simulation tests result indicates that the speed and precision of sample training are increased because of sample clustering for fuzzy modular networks . and the problem of slow training speed and local minimum point are avoided when bp networks are applied in the fault diagnosis of complex boiler
本文所建的用于鍋爐故障診斷的模糊模塊化神經(jīng)網(wǎng)絡(luò)模型因進(jìn)行了樣本聚類，實(shí)驗(yàn)結(jié)果表明：其網(wǎng)絡(luò)訓(xùn)練的速度和精度明顯提高，同時有效地解決了bp網(wǎng)絡(luò)應(yīng)用于復(fù)雜的鍋爐系統(tǒng)故障診斷時，存在訓(xùn)練收斂慢并容易陷入局部最小點(diǎn)的問題。
In this paper , the near - infrared spectral measurement and principal component analysis ( pca ) of simulated spilled petroleum samples are made , the princpal component scores are taken as the cluster characteristic variables for making fuzzy clustering , the near infrared spectrometry and pca together with fuzzy clustering method are then used for rapid recognition of simulated spilled oils , and the sample clustering and recognition patterns are established
摘要對模擬溢油的石油類樣品進(jìn)行近紅外光譜檢測并進(jìn)行了主成分分析，以主成分得分作為聚類的特征變量進(jìn)行模糊聚類，采用近紅外光譜測量結(jié)合主成分分析和模糊聚類法快速識別模擬溢油種類，并建立了樣品聚類與識別模型。
The calculating results show : ( 1 ) most of samples are located in 5 kpc - 10 kpc from galactic center . all of the sample clusters present a spherical symmetrical distribution around the galactic center , and their space velocities are presented a ellipsoidal distribution ; ( 2 ) according to the metallicity and basic characters , the sample clusters are separated into hb subgroup and mp subgroup . the number of samples are changed with metallicity [ fe / h ] , and there is a peak at [ fe / h ] = - 1 . 6 ; ( 3 ) the orbits of sample clusters show mostly limited , periodic characteristics , but the orbits are not closed completely , their maximal galactocentric distance is less than 40 kpc
計(jì)算結(jié)果表明： ( 1 )大部分樣本星團(tuán)都位于銀心距5kpc 10kpc的范圍內(nèi)，相對于銀心呈球?qū)ΨQ分布，它們的速度也呈橢球分布； ( 2 ) 29個樣本星團(tuán)按其金屬度大小和基本性質(zhì)分類，可分屬hb和mp兩個球狀星團(tuán)次系，且樣本星團(tuán)數(shù)隨金屬度[ fe h ]而變化，在[ fe h ] = - 1 . 6處出現(xiàn)一個峰值； ( 3 )所有樣本星團(tuán)的軌道運(yùn)動都呈周期性，大都在一個有界而不封閉的周期軌道上運(yùn)動，其最大銀心距都在40kpc以內(nèi)。
The 29 f globular clusters in the galaxy are selected as samples in my paper ( the space distribution and motional orbits of the samples have not been researched in detail before . ) . according to the basic parameters : azimuth coordinates , distances from the sun , radial velocities and proper motions of sample clusters , the initial positions and velocities of the samples are reduced using the galactic coordinates , and their orbits are integrated by numerical method for three different galactic gravitational potential models
本文選用銀河系中29個累積光譜型為f型的球狀星團(tuán)作為樣本(這些樣本星團(tuán)的空間分布和運(yùn)動特征都沒有被詳細(xì)地討論過) ，根據(jù)它們的基本資料：方位坐標(biāo)、日心距、視向速度，絕對自行等參數(shù)，歸算處理得出了各樣本星團(tuán)的空間分布和運(yùn)動速度。
Finally the initial observational data are produced by monte carlo method , and the orbital parameters are calculated using the simulation data for the three sample clusters . the relationship between the distribution morphologies of the orbital parameters and the initial observational date as well as the different galactic gravitational potential models are discussed
最后，對3個樣本球狀星團(tuán)的觀測數(shù)據(jù)進(jìn)行montecarlo模擬，并用于計(jì)算它們的軌道參數(shù)，以及討論軌道參數(shù)的分布形態(tài)與模擬觀測數(shù)據(jù)和不同引力勢模型之間的關(guān)系。

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