時間序列的峰 的英文怎麼說

中文拼音 [shíjiānxùlièdefēng]
時間序列的峰 英文
peak in time series
  • 時 : shí］Ⅰ名1 （比較長的一段時間）time; times; days:當時at that time; in those days; 古時 ancient tim...
  • 間 : 間Ⅰ名詞1 （中間） between; among 2 （一定的空間或時間里） with a definite time or space 3 （一間...
  • 列 : Ⅰ動1 （排列） arrange; form a line; line up 2 （安排到某類事物之中） list; enter in a list Ⅱ名詞1...
  • 的 : 4次方是 The fourth power of 2 is direction
  • 峰 : Ⅰ名詞1. （山的突出的尖頂） peak; summit 2. （形狀像山峰的事物） peak-like thing Ⅱ量詞（用於駱駝）
  • 時間 : time; hour; 北京時間十九點整19 hours beijing time; 上課時間school hours; 時間與空間 time and spac...
  1. Time series of discharge in neurons, that is, interspike interval ( is i ) series of action potential is considered to contain plenty of sensory information. however, there is little understanding of basic type and generating mechanism of this time coding because of the complexity of isi series

    神經元放電的時間序列，即動作電位的峰峰間期（ interspikeinterval ， isi ）序列被認為蘊含豐富的神經信息，但是由於isi序列的復雜多變，至今對這種時間編碼的基本型式及其發生機制了解很少。
  2. After analyzed the basic principle of optimized noise reduction on tyre pattern, summarized three approaches to noise reduction. the first is trying to reduce size of single block or socket to reduce noise amplitude on time domain, the second is to adjust stripes sorting order and their interlace value to avoid noise - made by every single block - peak values on time domain overlayed and the last is to adjust ratio of blocks and sockets, ratio of stripe interval and stripe sorting order to avoid noise periodical distribution and abnormal high peak values in some frequency strip

    論文第四章分析了輪胎花紋優化降噪的基本原理，總結出三條降噪途徑：在允許范圍內盡量減小單個塊或槽的大小、刻刀槽軟化花紋塊來減小噪聲時域波幅度；調整節距排列順序、花紋條之間的錯位值，使各發聲單元發出的聲壓時域波形的同向峰值錯開，避免同向峰值疊加；調整花紋塊和槽比例、節距比例、節距排列順序，盡量避免周期性分佈，使輪胎所發出的噪聲趨于白噪化，避免某些頻段的異常高峰值。
  3. The reason why we designed electronic tongue based on chaotic dynamic is that chaos is sensitive to the initial parameters. when different taste substances are added to the solution, the peak interval series of membrane oscillation are not the same. so do the atractors

    基於混沌理論的電子舌主要是根據混沌對初始參數的敏感性設計的，加入不同味覺物質時候膜振蕩波形的尖峰間隔序列不同，相對應的吸引子圖也就不同，由此可區分不同味覺物質。
  4. The east transect was classified thirty five vegetation types using ndvi data from 1995 - 1996 by gis technique. the paper concludes that the ndvi from meteorological satellite is sensitive indicator of vegetation growing condition, times series curves of ndvi can truly curve vegetation growing principle by drawing the seasonal change curve of ndvi data by three groups. the paper also concludes that the forest ' s ndvi curve is commonly single apex, while farmland ' s or shrub ' s curve is mostly double apex, the peak value of forest ' s ndvi is commonly higher than grassland, farmland and some other vegetation types

    應用地理信息系統技術處理1995 - 1996年1kmndvi數據，將南方樣帶劃分為35類，分三組繪制35類植被的ndvi季節變化曲線，得出氣象衛星ndvi是反映植被生長狀況的敏感指示器， ndvi時間序列曲線真實地刻畫出植被的生長規律；經分析得知森林ndvi曲線一般為單峰曲線，而農田灌叢多為雙峰曲線；森林ndvi峰值一般高於草原、農田等其它類型。
  5. The power spectrum analysis can with accurate examine a rolling bearing ’ s structure and processing and assembling the error margin. time sequence analysis can pass to build up the time sequence model, we can see the peak of the spectrum of the fault ’ s clearly

    功率譜分析可以精確診斷滾動軸承結構和加工裝配誤差類故障。時間序列分析能通過建立時序模型，從譜圖上來更清晰的看出故障的譜峰。
  6. In the empirical analysis, pp plot or other test methods show that logarithmic return time series of financial assets have leptokurtosis and heteroskedasticity

    在實證研究中，利用pp圖和其它檢驗方法得到金融資產的對數收益時間序列有高峰厚尾和arch效應。
  7. The bic method generalized from ar model was adopted to determine the number of input neurons in grnn prediction model. the grnn was applied to single - step and multi - step ahead prediction of the vibration time series of a rotating machine, and its performance was compared with that of 3 - layers perceptrons network with error back propagation training algorithm ( bpnn ). it is indicated that the grnn is more appropriate for prediction of time series than the bpnn, and the performance of grnn is qualified even with sparse sample data

    研究了基於廣義回歸神經網路（ grnn ）的大型旋轉機械振動狀態預測，提出了應用bic準則確定grnn預測模型輸入神經元數目的方法，將grnn用於大型機組振動峰?峰值時間序列的預測，與採用誤差反向傳播學習演算法的三層前饋感知器網路（ bpnn ）的預測結果對比表明， grnn的預測性能優于bpnn ，而且，即使樣本數據稀少，也能獲得滿意的預測結果。
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