Study chemical elements ' intergrowth combination with multi - fractals 用多重分形研究元素的共生組合性
Geophysical data are the stack of these kinds of signals and thus present multi - fractal characteristics 地球物理信號通常表現(xiàn)為多個這類信號的疊加,為多維分形特征。
( 2 ) it was very effective to describing the character of soil particle distribution by using multi - fractal method ( 2 )應(yīng)用多重分形的方法來描述土壤粒徑分布性質(zhì)是非常有效的。
At last , the probability density function shows multi - fractal characteristic , which is gauss distribution in euclidean space 流體微團的概率密度分布函數(shù)也表現(xiàn)出多重分形特征
2 . using multi - fractal model method distinguish the relation of element , by contrast with traditional method , we think that received the good result 用多重分形模型算法,來判定元素的共生組合性,通過和傳統(tǒng)方法得出的結(jié)果的對比,結(jié)果非常接近,其效果滿意。
Those nine soil samples showed great variances with the multi - fractal characteristics . the samples which particle - size - distribution were uniformity could be analyzed by mono - fractal 粒徑分布均勻性好的土壤可以用單一分形分析,均勻性不好的土壤則需要用多維分形分析。
Now we use arithmetic of multi - fractals , deal with data and draw trendline , we think receive better effect . the several main achievements in the research are as follow : 1 本文用多重分形算法,對數(shù)據(jù)進行處理,作出他們的趨勢圖,并且判定他們的共生組合性,實踐證明,其處理結(jié)果具有較好的效果。
From the processing results of two well logging data , it can be roughly recognized that the selected well logging curves with multi - fractal characteristics are stack responses of the different sedimentary procedures 通過對兩口井的地球物理測井曲線處理,可以初步看出,在選定的地球物理測井曲線中,其具多維分形特征,不同的沉積過程相互疊加在原始測井曲線中。
In this way , the self - similar multi - fractal property of the hadronic system produced in z0 ( ) decay is strictly confirmed and the corresponding fractal dimensions and levy index are obtained in the first time using the high statistics data from the l3 experiment at lep 這樣就精確地驗證了在z ~ o衰變能量下的e ~ + e ~ -對撞末態(tài)強子系統(tǒng)是多重自相似分形,并首次用實驗測出了相應(yīng)的分形維數(shù)與l vy指數(shù)。
In this paper , it has been studied based on the fractal theory , multi - fractal theory , calculation and analysis of each fractal dimension and general dimension being set as fault feature that fault diagnosis and identification of rotating model and steam - electric generating set 本文基于分形理論、多重分形理論,通過對各分形維數(shù)的計算分析,把廣義分形維數(shù)作為故障特征量,對旋轉(zhuǎn)機械模型及汽輪發(fā)電機組的故障診斷與識別進行了研究。