提出并研究了基于时间序列理论的网络舆论发展趋势预测方法。
Prediction methods to the tendency of network opinion evolution are also initially studied and the way to predict network opinion tendency based on time series analysis theories is present.
本文运用现代时间序列理论，建立了表面粗糙度轮廓的随机数学模型。
In this article, the random mathematical method of surface roughness is given with modern time series theory.
本文根据时间序列理论通过曲线拟合和参数估计来建立数学模型，对当前尿素市场进行分析。
The article draw up to match through a curve and estimate with parameter to establishment mathematics model according to time sequence theories, Carry on the analysis to the current urea market.
通过人工神经网络得到的预测结果基本上与较传统的时间序列理论得到的预测结果精度相似。
The prediction of stock market based on the artificial neural network has almost the same precision as that based on time series models.
粗糙集理论作为一种处理模糊和不确定性问题的有效工具，对时间序列的数据挖掘是有效的。
Rough set theory, as an effective tool to deal with vagueness and uncertainty, is effective to the time series data mining.
本文提出了模糊时间序列分析的理论和方法，研究了模型形式及其参数估计问题。
In this paper, the theory and method of fuzzy time series analysis are presented, the model form and the parameters estimate problem are studied.
并用灰色预测理论对该系统现有的年用电量时间数据序列进行处理，进而建立了GM（1，1）预测数学模型，最后提供了预测实例。
Time data sequence on existing annual power consumption are dealt with by using principles of grey production, thus establishing GM(1, 1) grey model. Finally, a example is given.
本文引入灰色系统理论，利用有限的时间序列，按照GM(1,1)建模方法，建立起黑龙江省污水总量长期预测模型。
This paper inserts grey system, makes use of finite time series, follows GM (1, 1) building method, builds the long term prediction model of total waste -water in Heilongjiang Province.
应用重构相空间理论对安全事故次数的时间序列进行了分析和预测。
Also, by using the reconstruction phase space theory, the time sequence of accidents was analyzed and predicted.
利用自相关函数对恒生指数日收盘价时间序列中的自相似性进行了初步的实证和理论分析。
We do the initial identification and the theoretical analysis with the autocorrelation function towards the time series of HSI daily closing quotation.
采用时间序列分析法对某型飞机的故障率进行预测，其结果可为可靠性维修提供理论依据。
The results from time array analysis to predict failure of an aircraft can provide theory basis for the reliability maintenance.
时间序列的波动持续性建模理论和方法是经济金融领域风险分析的一种强有力的工具。
The theory and method of modeling volatility persistence of time series is a powerful tool in analyzing the risk of economic and finance market.
将模糊控制技术、分形理论中的时间序列分析方法与神经网络技术有机地结合起来，并运用于矿井瓦斯涌出量的预测中。
The paper is to organically combine the time series analysis method and neural network technology in the fuzzy control technology and fractal theory to predict mine gas emission quantity.
基于小波包变换和混沌理论提出了一种股票市场建模及其预测的新方法，既能刻划时间序列的规律，又能捕捉混沌状态的特征。
A new method is proposed to predict the stock market based on wavelet packet transformation and chaos theory, which can not only describe a time series but also capture the features of the chaos.
根据股票市场是非线性动力系统的假设，利用混沌理论对混沌时间序列的分析方法，提出了股票价格预测方法。
A method of stock price prediction is presented by hypothesis of stock market being non-linear dynamic system and analyzing method of chaos theory for chaos time series in this paper.
非线性理论在刻画金融时间序列的波动方面有着非常重要的作用。
The non-linear theory has been playing an important role in describing volatility of financial time series.
采用混沌理论对城市用水量时间序列的混沌特性进行了判定。
The chaotic characters of time series of urban water consumption were judged using the chaos theory.
另外，结合一类分类方法和相空间重构理论，提出一种时间序列中的异常值检测方法。
In addition, a new method of outlier detection in time series is proposed by combination of phase space theory and one-class classification method.
引入非线性动力学理论和混沌时间序列分析方法考察强震地面运动加速度时程的非线性特征。
The nonlinear dynamic theory and the chaotic time series analysis method were adopted to examine the nonlinear characteristics of strong earthquake ground motions in this paper.
基于变分贝叶斯及相空间重构理论，提出了含噪混沌时间序列相空间域线性回归预测模型。
We present a linearly regressive prediction model for noisy chaotic time series phase space based on variational Bayesian and phase space reconstructive theory.
本文借助于平稳时间序列的极值分布理论，对南京地区异常低温事件频次和强度建立统计模型。
The statistical model of frequency and intensity of anomalous microtherm events in Nanjing is established by means of the extreme value distribution theory of stationary time series.
混沌和支持向量机理论为研究复杂多变的非线性水文时间序列开辟了新的途径。
Chaos and support vector machine theory has opened up a new route to study complicated and changeable non-linear hydrology time series.
应用随机穿越理论分析了有限个随机滞留时间序列中的毁伤概率问题。
The killing probability in finite random stationary time series is studied by stochastic passage theory.
将板形检测信号视为动态时间序列，运用自适应滤波理论，建立了一种通用的板形检测信号除噪方法。
Flatness detection signal was looked on as dynamic time series and by the theory of adaptive filtering a general method was developed to remove the harmful noise from the flatness detection signal.
论文结合相空间重构理论与一类分类方法提出一种时间序列中的异常值检测方法。
A new method of outlier detection in time series is proposed in this paper, which is based on phase space reconstruction theory and one-class classification method.
本文将时间序列相关分析理论应用于电力系统超短期负荷预报。
In this paper, the Theory of Corrclation Analysis on Time Series is applied to very-short-term power system load forecast.
采用灰色系统理论对原地爆破浸出率的时间序列预测问题进行了研究。
In this paper, the theory of gray system is adopted to study the time series prediction of the leaching rate of in-situ blasting and leaching ore.
本课程是博士生计量经济学系列课程的高级内容，介绍非线性时间序列的理论和方法的前沿研究。
The course is the advanced part in a PhD econometrics sequence. It provides developments in theory and methods of nonlinear time series econometrics.
本文根据切削过程中一些参数的变化规律，从理论上首次提出了一种新的时间序列分析模型，即常系数固定价ARC(2)模型。
According to the change pattern of some parameters in metal cutting processes, this paper proposes for the first time a new time series analysis model-Autoregressive Constant model ARC (2).
本文根据切削过程中一些参数的变化规律，从理论上首次提出了一种新的时间序列分析模型，即常系数固定价ARC(2)模型。
According to the change pattern of some parameters in metal cutting processes, this paper proposes for the first time a new time series analysis model-Autoregressive Constant model ARC (2).
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