The stability conditions and the existing conditions of limit cycle of AR-type nonlinear time series models are given. Some special models are discussed.
为此给出了AR型非线性时间序列模型的稳定性条件及极限环存在条件，并对一些特殊模型进行了讨论。
When a white noise interferes with the controller, a time series autoregressive (AR) model is built using the sampled experimental data.
当白噪声干扰方向控制器时，可以用采样数据建立时间序列的自回归模型。
Robinia Robinia honey is estimated by time series analysis AR (1) model, related factors?
刺槐蜂蜜日产量的时间序列分析AR(1)模型相关系数？
AR model is wide used time series model.
时间序列模型主要是自回归模型。
The real signals have often non-stationary characteristic, so if we analyse these time series using AR model directly, we cant obtain design result.
由于实际信号常常具有非平稳特征，直接应用AR模型进行时间序列分析，得不到理想的效果。
On the basis of traditional time series analysis and modeling methods, the thesis puts forward a new complete and simply identification method by using ar model.
本文在传统时间序列分析建模方法的基础上，提出了用AR模型的新的完整而又简单的辨识方法。
When errors is a ar (1) time series, we studied the quasi-likelihood equation for the semiparametric model, and investigated the existence of quasi-maximum likelihood estimators.
在误差为AR(1)时间序列的情形下，给出了半参数回归模型的拟极大似然估计方程，并研究了拟极大似然估计量的存在性。
Although the period of using ar, MR, ARMA, ARIMA modeling methods of time series analysis for observed seismic data processing is not long, it is believed that these methods are promising.
时间序列分析中的AR,MR,ARMA,ARIMA等建模方法应用于地震观测资料分析中尚为时不长，是很有发展前途的地震信息处理方法。
For the features of disc proportioning system's lag and discharge rate's fluctuation, applying time series analysis, a disc discharge rate prediction model based on ar model was set up.
针对原料场圆盘配料系统下料量检测滞后和料量随堆料机进退变化较大的特点，应用时间序列分析方法建立了基于AR模型的圆盘下料量预测模型。
When a white noise interferes with the device, a time series model, proposed as AR (autoregressive) model, is conducted by using the sampled experimental data.
当白噪声干扰电流变传动器时，利用采样数据，建立时间序列的自回归模型。
This paper proposes the prediction method of time series based on AR model and forecasts the development trend of weighted length of fiber for hydrocyclone by this method.
以时间序列为理论基础，利用时间序列分析方法对水力旋流器的筛分性能建立了AR模型，并依据该模型对纤维重均长度变化趋势进行了预测分析。
Based on measured data of micro silicon gyro and time-series theory, the AR model of gyro static drift is established, then the continuous-time differential equation is got.
利用微硅陀螺测量的数据，运用过程辨识理论和时间序列分析方法，建立了陀螺静态漂移的自回归（AR）模型，进而得到连续微分方程。
Using linear regressive models (e. g. AR, ARMA model) to fit and predict the climatic time series, the results are not sufficiently good because there exist nonlinear variations in the time series.
在用AR、ARMA等线性模式对气候序列进行拟合和预报时，由于气候序列中存在着非线性变化，所以拟合和预报效果往往不太理想。
In this paper time series spectra, both linear spectrum (FFT spectrum) and nonlinear spectrum (ar spectrum) are introduced briefly.
本文介绍了时间序列分析的线性谱(快速傅里叶变换fft谱)和非线性谱(自回归ar谱)。
The time series ar (p) self-regression model is widely applied to prediction in economic field. Most of researchers and technicians in engineering are not familiar with it.
时间序列ar (P)自回归模型多应用于经济预测领域，工程技术界多数人对此不太热悉。
According to the structure characteristics of a time varying time series model, a new recursive parameter estimation algorithm of the time varying ar model is proposed.
根据对一类时变时间序列模型结构特点的研究，提出了一种时变ar模型的递推参数估计算法。
Then, an improved AR(1) model is proposed. Through this new model, the response time of a DNS server can be dynamic predicted using previous response time series.
同时，基于已有的AR（1）模型，提出了一种改进型AR（1）自回归模型，该模型能够利用历次服务器响应时间构成的时间序列，采用动态预测的方法来预测服务器响应时间。
This article issues a new viewpoint and method in modeling for time series based on ar model. The method is able to give less calculating and to be programmed on computer.
提出了基于自回归(AR)模型对时间序列统一建模的新观点和方法，可大大减少计算量，并在微机上编程实现。
At present, the time series analysis method often USES AR or ARMA model, this method is very complicated and difficult to apply.
目前时间分析方法多采用AR或ARMA模型，但由于实际问题错综复杂，导致模型求解困难，实际中难以应用。
This paper introduces the time series AR (p) self-regression model. and how to apply it to predict the output of B. F. gas in Iron and Steel Works.
本文介绍了时间序列ar (P)自回归模型以及如何利用它来预测高炉煤气的产量。
The compressor exit total pressure is adopted as a characteristic signal to detect surges. An ar (autoregressive) model is constructed with the time series analysis method.
以压气机出口总压作为喘振检测特征信号，采用时间序列分析方法建立了AR模型。
Finally, I predict financial risk situation for the next two years in Gansu province by use of ar autoregressive time series model.
最后，运用AR自回归时间序列模型对未来两年甘肃省金融风险状况进行预测。
Some problems concerning signal processing by micro-computer using the traditional method (the FFT analysis) and modern method (the time series analysis) are investigated. Experimental results ar…
文中还论述了采用传统方法（FFT分析）与现代方法（时间序列分析）在微型机上实现信号处理时的有关问题。
Some problems concerning signal processing by micro-computer using the traditional method (the FFT analysis) and modern method (the time series analysis) are investigated. Experimental results ar…
文中还论述了采用传统方法（FFT分析）与现代方法（时间序列分析）在微型机上实现信号处理时的有关问题。
应用推荐