Synergetic prediction Model of Slope instability is a new Slope instability time prediction Model.
斜坡的协同预报模型是一种新的斜坡失稳时间预测模型。
Set up one time door limit prediction model of autoregression of array, study for nonlinearity of stock market this front field make new try a bit.
建立了一个时间序列的门限自回归的预测模型，为股票市场的非线性研究这一前沿领域作了一点新的尝试。
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.
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。
Two kinds of models are derived; load prediction model based on building model recognition and load prediction model based on time series analysis.
提出了两种类型负荷预报模型，基于建筑模型辩识的负荷预报法和基于时间序列的负荷预报法。
This model adopted direct prediction method, so error accumulation effect was avoided. The training data set was real-time updated so that the model was always the newest.
该模式采用直接预报的方法，避免了误差累积效应；对训练集实时更新，以保证模式的不断更新；模式的输入比较简单，便于应用。
The grey prediction model provides a new way for predicting the time dynamic numerical array of mine gas emission rate.
灰色预测模型为矿井瓦斯涌出量时间动态数列的预测提供了一条新的途径。
Then, we make prediction with moving exponential average model after the analysis of the travel time series. Finally, we present reasonable justification.
通过分析行程时间时间序列的时变特性，利用指数平滑模型进行预测，最后提出合理的修正方法。
The Dynamic time series period analysis and prediction model analyses a serial-typed time series from the point of statistics, finding out the law. thereby succeeding in predicting the future.
动态时间序列周期分析预测模型是从数理统计的角度对值为连续型的时间序列进行分析，发现规律，从而成功预测未来。
Based on local linear prediction model of chaotic time series, short-term load forecasting method on multi-embedding dimension is presented.
基于混沌时间序列的局域线性预测模型，提出了多嵌入维的短期负荷预测方法。
During the filling construction of the roadbed the total settlement value could be predicted by using time series equal interval prediction model of recent information.
在路基填筑施工过程中，根据沉降观测数据用时间序列分析方法建立等维信息动态预测模型。
Time series analysis based on neural networks theory cross through traditional frame of subjective model draw out prediction on the inner rules of linear time series data.
基于前向型神经网络理论的时间序列分析跳出了传统的建立主观模型的局限，通过时间序列的内在规律作出分析与预测。
We present a linearly regressive prediction model for noisy chaotic time series phase space based on variational Bayesian and phase space reconstructive theory.
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。
Since urban travel times are stochastic and uncertain, a model for addressing urban travel time prediction by using transport information granular computing theory based on rough set was proposed.
由于城市道路交通问题具有不确定性和不精确性，故采用基于粗糙集的交通信息提取计算理论建立城市道路行程时间预测模型。
The random settlement could be gotten by random prediction model that is established by smooth and stable time series analysis method.
用平稳时间序列分析方法建立随机部分模型，并预测沉降随机部分值，二者之和即为某时期沉降预测值。
First, it introduces time series analysis principle. Then, heating load and model error prediction are given by this principle.
文中首先介绍了时间序列法预报原理，接着应用该原理给出供热负荷和模型误差的预报。
Based on the time series, a model of linear artificial neural network is set and used for dynamic prediction of discharge of groundwater.
根据其时间序列，建立线性神经网络模型，并将其用于地下水流量的动态预测。
Comparision experiments were conducted for an explicit and economical explicit time integration scheme (EES) by use of a limited area numerical prediction model.
本文作了有限区数值预报模式显式和省时显式时间积分方案的对比试验。
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。
Thirdly, it analyses prediction technology in scheduling, and proposes prediction model to predict task expected completion time using subtasks with maximum mathematical expectation.
在此基础上，建立基于数学期望的任务预期完成时间预测模型，用具有最大期望完成时间的子任务预测任务预期完成时间；
Wavelet network based nonlinear time series prediction model is submitted, and nonlinear time series prediction and its application in fault prediction are discussed in this paper.
本文提出了基于小波网络的非线性时间序列预报模型，探讨了非线性时间序列预报在故障预报中的应用。
Generally fixed quantity prediction method has a certain deficit because of the case that predicts a time moving parameter system with fixed parameter model.
一般的定量预测方法因用固定参数模型预测一个时变参数系统的情况而致存在一定的局限性。
This paper presents a hybrid model for urban arterial travel time prediction based on the so-called state space neural networks (SSNN) and the extended Kalman Filter (EKF).
提出了一种基于状态空间神经网络(SSNN)和拓展卡尔曼滤波(ekf)的混合式行程时间预测模型。
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。
It is the first time that a converting furnace endpoint prediction model based on an improved BP neural network and error compensation of linear regression.
提出了基于改进的BP神经网络学习算法和自适应残差补偿算法的炼铜转炉吹炼终点组合预报模型。
Combining Projection Pursuit(PP) and highdimensional time series analysis, the synthetic earthquake prediction model of highdimensional PP time series is built.
将投影寻踪（PP）与高维时间序列分析结合起来，建立了地震PP综合预测模型。
On the basis of the grey model GM (1, 1), a new grey prediction model with time - dependent parameters is established.
在灰色GM(1.1)模型的基础上，建立了非等时距的时变参数灰色预测模型。
By analyzing asset price vibration rate following limited Markov chain, prediction model of future time vibration rate and related pricing method of stock option are made.
本文通过对服从有限马尔可夫链的标的资产价格波动率进行分析，得出了在未来时刻波动的预测模型，并给出了相应的期权定价方法。
Based on nonlinear prediction ideas of reconstructing phase space, this paper presents a time delay BP neural network model, whose generalization is improved utilizing Bayes' regularization.
基于相空间重构的非线性预报思想，建立一个时滞的BP神经网络模型，采用贝叶斯正则化方法提高BP网络的泛化能力。
The application of fuzzy logic model in the prediction of financial time series is investigated.
文章研究了模糊逻辑模型在金融预测领域中的应用。
The traditional logistics transportation amounts prediction ways mainly indicate liner regression and time sequence model.
传统的物流运输量预测技术大多采用线性回归和时间序列技术。
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