1) Autoregression
[,ɔ:təri'ɡreʃən]
自回归
1.
Hydrologic forecast model with multidimensional and hybrid regression system is combined by regression and autoregression methods.
多维混合回归系统模型是将回归与自回归结合起来的综合模型。
2.
Meanwhile, the grey forecasting models were improved and it was verified that the time response series had the properties of autoregression.
利用 Ｚ 变换给出 Ｇ Ｍ （１，１）、 Ｇ Ｍ （２，１）的时间响应序列，改进了灰色预测模型，同时证明该时间响应序列具有自回归性。
3.
This paper introduces a recurrence formula for estimating the variances of errors of a sequence forecasted by an autoregression model and gives two examples under both smooth and nonsmooth conditions.
讨论了自回归模型的预测误差的方差估计问题，给出了详细的递推计算公式，并给出了平稳序列与非平稳序列的例子各１个。
2) autoregressive
自回归
1.
Fractional Autoregressive Prediction for Long Range Bursty Traffic
长程突发通信量的分数自回归预测
2.
This paper proposes a non-linear adaptive filtering method based on analyzing the performance of the conventional adaptive methods in the cases of that the NBI can be modeled as a single tone,an autoregressive(AR) stochastic process or narrow band BPSK digital modulation signals.
在分析线性自适应滤波抑制单频干扰、自回归过程窄带干扰和窄带BPSK调制信号干扰的性能的基础上,提出了一种非线性自适应波抑制方法。
3.
An adaptive spectral-estimation model was established, and the frequency estimation was implemented by autoregressive and adaptive algorithm.
提出了一种基于谱估计的跳频(FH,FrequencyHopping)信号的捕获方法,建立了自回归自适应谱估计模型和算法,通过计算信号频谱估计了跳频信号的瞬时频率。
3) Auto-regression
自回归
1.
Analysis of network structure based on mixed auto-regression and hidden periodic model;
基于混合自回归潜周期模型的网络结构分析
2.
For improving the prediction accuracy of network traffic,a new combination prediction model is proposed based on the in-tegration of recurrent neural networks,wavelet and the auto-regression(AR).
为了提高网络流量的预测精度,提出了一种基于Elman递归神经网络、小波和自回归的网络流量组合预测模型。
3.
This dissertation deals with how to estimate parameters of a model of multivariable weak stable Auto-regression Equation on time series ( marked by AR(p) ) and formulizes properties of them.
本文系统地研究了多元弱平稳序列自回归模型AR(p)的参数估计方法及性状。
4) Auto regression
自回归
1.
An effective method of dynamic power management based on wavelet and AR(auto regression) is proposed to extend life of wireless sensor networks by making economical use of energy.
为了最大限度地节约能量的使用,延长无线传感器网络使用寿命,提出了一种利用小波和自回归的动态功率管理(DPM)方法。
5) self regression
自回归
1.
The theory of nonlinear regression and the theory of moving average are applied to analyse single data in time series,the forecast model of a nonlinear moving self regression are given out.
应用非线性回归分析中的 S型增长模型及移动平均线理论 ,对按时间次序排列的单一数据序列 ,给出了一种非线性移动的自回归预测模型 ,将其应用于股价指数的历史数据中 ,对该预测模型的合理性和准确性作了初步验证 ,得到的结果相当理想 ,本模型具有一定的实际应用价值。
2.
The theory of linear regression and the theory of moving average are applied to analyse single data in time series,the model of a linear moving self regression forecast are given out.
应用线性回归分析和移动平均理论 ,对按时间次序排列的单一数据序列 ,给出了一种线性移动自回归预测模型 ,并对原始数据受不确定因素影响而产生的随机振荡 ,给出了合理的控制区间和运行通道。
6) return to nature
回归自然
1.
After a careful examination of the images found in Gucheng’s poems, this paper points out that the supreme state in Gucheng’s ideal realm is nothing but a return to nature and a female nation.
对顾城诗歌意象的解读显示 :回归自然和女儿国是顾城理想王国的最高境界 ,在理想的追逐与破灭中 ,又对死亡有着独特的预测性体验 ,最后漂泊无依的顾城渴望家并终于回归了“家”。
补充资料：自回归
自回归
auto - regression
自回归【auto一比g，551.;a.:operpece，，〕 给定随机序列{戈、;n一0，土1】}中的值戈与其先行值弋l…‘戈，的回归依赖关系m阶线性自回U刁由X。与刃二一*(天=l…，m)之间的线性回归(regresslon)方程来定义，即 弋二刀，弋!十…+尹，戈一。+气，(*)这里刀、，二，几为常数，而随机变量:。同分布，具有均值O和方差62，且为不相关的(有时假定它们独立)在描述某些时间序列(time series)时，自回归是一个有用的随机模型(线性自回归的概念是G.丫ule在1921年提出的)它用于分析描述一个系统的时间序列，该系统在其内力与随机的外来冲击的作用厂产生振动.自回归(*)可看作是一个特殊类型的随机过程—自回归过程(auto一regresszonProcess).
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条