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自回归
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  auto recursive
     The essential principle and recursion algorithm of Kalman filter were introduced and the methods of establishing state and measurement equation based on time series auto recursive model were given out. A new signal filtering way was proposed according to Kalman recursion algorithm and the equations. Meanwhile this method was tested by simulation and practical signal.
     简要介绍了Kalm an滤波的基本原理及其递推算法,给出利用时间序列自回归(AR)模型建立信号状态方程和观测方程的方法,并依托这两个方程结合Kalm an递推算法形成一种信号滤波处理方法,最后通过仿真和实测信号对这一方法进行验证。
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  “自回归(”译为未确定词的双语例句
     Chapter 6: to establish the changeable structure based genetic algorithm auto-regressive model (CSGA-AR) model to predicting rainfall of plentiful and low water period.
     第六章:建立了基于变结构遗传算法的丰枯雨量预测的自回归(changeable structure based genetic algorithm-auto regressive-CSGA-AR)模型。
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     Autoregression model coefficient, correlation coefficient and information entropy are used as signal features in EEG signal classification of different mental tasks.
     分别以自回归 (autoregression ,AR)模型系数、相关系数和信息熵作为信号特征对不同思维作业脑电 (EEG)信号进行分类 ,其中相关系数和信息熵均是首次用于思维作业EEG信号的特征提取。
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     In this paper, two autoregressive (AR) spectral estimation approaches, i.e. Hanning data-adaptive weighted and Hanning weighted complex Burg approaches-(CHDAB and CHB) are discussed.
     本文提出两种自回归(AR)谱估计方法,它们是Hanning数据自适应加权和Hanning加权的复Burg方法(CHDAB和CHB)。
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     A Method for Choosing the Order of Autoregressive (AR) Model
     一种自回归(AR)模型的定阶方法
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     Modeling and Analysis of Network Traffic Prediction Using Autoregression and Support Vector Machine Based on Byte Length in Data Packets
     基于数据包字节长度的线性自回归(Autoregression)和支持向量分类机(SVM)的网络流量预测建模与分析
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     On a Class of Nonlmear Autoregressive Models
     非线性自回归模型
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     THE FITTING OF AUTOREGRESSIVE MODEL
     自回归模式的拟合
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     ANALYSIS OF THE HEARTBEAT (R-R) INTERVAL WITH AR MODEL
     心搏间隔(R-R)波动的自回归模型分析
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     A THEORETICAL STUDY OF AR-SPECTRAL FREQUENCY RESOLUTION
     自回归(AR)谱频率分辨率理论探讨
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Seismic data for the period 1446-1969 in the North China seismic active region have been used in this study. We selected 36 earthquakes which occurred at the points of inflection and at the main peaks of the active periods. Hermitian interpolation was made between the energies of two consecutive earthquakes. In this way, a curve of equal sampling intervals showing the variation of the activity of the North China seismic region during the past 500 years was obtained.This curve may be assumed to consist of two...

Seismic data for the period 1446-1969 in the North China seismic active region have been used in this study. We selected 36 earthquakes which occurred at the points of inflection and at the main peaks of the active periods. Hermitian interpolation was made between the energies of two consecutive earthquakes. In this way, a curve of equal sampling intervals showing the variation of the activity of the North China seismic region during the past 500 years was obtained.This curve may be assumed to consist of two parts, namely, the deterministic part and the stochastic part. A periodic model and an auto-regressional model of stationary stochastic process were respectively proposed for carrying out extrapolation and prediction.By posteriori-test analysis, we mean the interceptions of the recent data 15 times, each followed by computing, extrapolating and predicting separately. Again, by summing up the number of time intervals predicted to be earthquake dangerous, a curve of prediction could be obtained.Based on these results of posteriori-test we predicted in April 1974 the appearance during the time interval from 1975 to 1977 a seismic active period in North China, within which the Haicheng earthquake of 1975 and the Tangshan earthquake of 1976 actually occurred. Moreover, the said curve is still significant for predicting future earthquakes in North China. It seems that the seismic active period of North China starting from the Haicheng earthquake would last for a certain length of time, till about 1980, but it would be again active at around the year 2001.

本文资料取自华北地震区1446—1969年的地震记录.选出活动期主峰与拐点地震36次,每两次之间做埃尔米特插值,这样就构造出一条等间隔采样的曲线,它反映了五百年来华北地震活动强弱的变化.设此曲线由两部分组成,确定性部分和随机部分.给出轮回模式与平稳随机过程的自回归模式,分别进行外推预测.文中还做了后验综合分析,将近期资料删截15次分别进行计算、外推、预测.把每个时间段被预测危险的次数相加得到预报曲线.根据这些后验的结果,于1974年4月估计,1975至1977年华北将出现地震活动高潮.在此间发生了1975年2月5日的海城地震与1976年7月28日的唐山地震.该曲线对今后华北地震仍具有预报意义.以海城地震开始的华北地震高潮还要延续一段时间,至1980年后才转入低潮,且到2001年前后将开始重新活动.

The data of polar motion,rotation of the earth and atmospheric excitation func- tion are analysed by the Auto-Regression power spectrum method,and their spectra at low frequency band are obtained.There are several common periods in these spectra.This fact suggests that these periods may be real.

本文用自回归功率谱方法分析了极移、地球自转和大气激发函数的资料,得到了它们的低频谱.在这些谱中存在几个共同的周期.这个事实说明,这些周期可能是真实的.

Based on a chronicle of droughts and floods (1163-1884) as well as the raiufall records (1885-1977) in plum rains season (May-July), an investigation on the fluctuation of droughts and floods has been carried out. The main conclusions are as follows:The climatic frequency of droughts and floods of various grades, which are 8%, 22%, 40%, 22%, 8%, roughly follows the normal distribution. The droughts and floods appeared clusterly and alternately. The prominent cycles are 157, 91, 61, 47, 38, 30.9, 27, 21.8, 19.2,...

Based on a chronicle of droughts and floods (1163-1884) as well as the raiufall records (1885-1977) in plum rains season (May-July), an investigation on the fluctuation of droughts and floods has been carried out. The main conclusions are as follows:The climatic frequency of droughts and floods of various grades, which are 8%, 22%, 40%, 22%, 8%, roughly follows the normal distribution. The droughts and floods appeared clusterly and alternately. The prominent cycles are 157, 91, 61, 47, 38, 30.9, 27, 21.8, 19.2, 14.9, 11, 9.7, 2.7, 6 and 5-year etc.Besides, the droughts and floods are compared with the solar activity cycle. Finally, the trend for the coming 22-years is discussed.

利用1163—1977年的史料和雨量资料对长江下游地区梅雨期(5—7月)的旱涝情况进行分析,得到如下结论。 (1)各级旱涝的气候频率近于正态分布;1—5级的气候频率分别为8%、22%、40%、22%、8%。各时期的旱涝分布不均,呈交替现象。全期分为多旱期(1200—1285),多涝期(1286—1522)和转旱期(1523—1977),在这三个时期内都存在旱涝的“群发倾向”。利用自回归功率谱(AR模式)方法得显著周期为157、91、61、47、38、30.9、27、21.8、19.2、14.9、11、9.7、7.7、6和5年等。 (2)统计结果证实太阳活动最大年和最小年附近的旱涝次数为最多,而在最大年附近(M—1、M)涝的次数比旱的多,在最小年附近(m—1、m、m+1)旱的次数比涝的多。用同调谱分析,太阳黑子对梅雨旱涝有着一定影响,但关系不十分显著。

 
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