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1. 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(shì)模型對(duì)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。
2. 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(shì)模型對(duì)球狀星團(tuán)軌道的具體形態(tài)影響不大，在給定的引力勢(shì)模型下，當(dāng)某些星團(tuán)的運(yùn)動(dòng)軌道穿越距銀心1kpc附近的區(qū)域時(shí)會(huì)出現(xiàn)“混沌”現(xiàn)象：(4)29個(gè)樣本星團(tuán)的軌道半長(zhǎng)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(duì)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。
3. 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(shì)模型對(duì)球狀星團(tuán)軌道的具體形態(tài)影響不大，在給定的引力勢(shì)模型下，當(dāng)某些星團(tuán)的運(yùn)動(dòng)軌道穿越距銀心1kpc附近的區(qū)域時(shí)會(huì)出現(xiàn)“混沌”現(xiàn)象：(4)29個(gè)樣本星團(tuán)的軌道半長(zhǎng)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(duì)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。
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(shí)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(shí)，存在訓(xùn)練收斂慢并容易陷入局部最小點(diǎn)的問題。
5. 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(duì)模擬溢油的石油類樣品進(jìn)行近紅外光譜檢測(cè)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(cè)量結(jié)合主成分分析和模糊聚類法快速識(shí)別模擬溢油種類，并建立了樣品聚類與識(shí)別模型。