移动平均模型

词组短语

model of moving means

与移动平均模型相关的网络例句 [注：此内容来源于网络，仅供参考]

This paper employs Brownian movement and q- step moving average process to model the stochastic fluctuation of interest and study the risk problems in individual account pension fund. The actuarial balance equation, the responsibility reserve fund as well as the survival annuity model are discussed.

本文分别用布朗运动和q阶移动平均对利率进行建模并应用于养老基金领域，研究了个人账户养老基金的精算平衡方程、责任准备金的提留以及生存年金模型，并讨论了与此相关的风险问题。

The results demonstrate that: ARMA(1,1) model,auto-regressive model with GDP as exogenous variable,auto-regressive model with policy as exogenous dummy variable,and logarithm linearity and removal average model are all valid models for forecasting tax revenue.

结果表明：ARMA(1，1)模型中，以GDP为外生变量的自回归模型、以政策因素为虚拟外生变量的自回归模型以及对数线性移动平均模型都是预测税收收入的有效模型，但以GDP为外生变量的自回归模型在预测2005年税收收入时，预测值与实际值的预测偏差仅有1。

The original time series data were processed by moving average method, then several grey GM (1,1) models were constructed respectively and combined with optimization.

首先对原始的时间序列数据进行移动平均处理，然后分别建立多个灰色GM(1，1)模型并进行优化组合。

Then introduction related accessories shop marketing elementary theory as well as a Yuan linear return market factor analysis and moving average method forecast model.

接着介绍有关饰品店营销的基本理论以及一元线形回归市场因素分析和移动平均法预测模型。

The first one focuses upon the fundamental theory and methods of system identification, including the basic concepts of system description and identification,review of matrix theory, stochastic process and pulse response of linear systems; the first principle models for lumped and distributed parameter systems; modeling of bioreactions; auto regressive moving average model; weighted least square and regressive weighted least square for parameter estimation of ARMA model; Runge-Kutta and Simplex methods; an example of BPNN application; as well as Kalman Filter.

第一部分包括知识驱动建模、数据驱动建模、参数估计和状态估计的基础理论和方法。具体为：(1)系统辨识和系统描述的基本概念，包括矩阵论、随机过程、线性系统的脉冲响应函数等基础知识回顾；(2)基于动态物料和能量衡算的集总参数、分布参数对象的知识驱动建模方法；(3)生物反应系统的建模方法；(4)自回归移动平均模型；(5) ARMAX模型参数的加权最小二乘参数估计一次性算法和递推算法，相应的统计性质；(6)龙格库塔法和单纯形法；BP神经网络应用实例；(7)卡尔曼滤波器，及其与加权最小二乘参数估计递推算法的对比。

An information fusion technology was successfully coupled to the analysis of original weak electrical signals in Bellis perennis, which consisted of a touching testing using platinum sensors in a system of self\|made double shields, the signals denoised by the wavelet soft threshold and a forecast system of time series by the autoregressive integrated moving average constructed with plant characters of electrical signals.

将自制的具有铂金传感器的双重屏蔽微弱电信号测试系统，所获取的植物微弱电信号、小波软阈值消噪、时间序列的求和自回归移动平均模型等单因素分析耦合成信息融合技术，对雏菊电信号时间序列进行了数据融合分析预测。

The major achievement of this paper is: Based on characteristics of the traffic data distribution, execute pattern recognition operations on traffic condition on two dimensions by clustering, then use BP neural network to describe and forecast traffic flow aiming at each pattern. Making use of classic flow-occupancy inverse "V" model, implement polynomial fitting using least-squares algorithm and statistics method on flow curves to detect outliers which are proved to be not accord with practice through the actual implement, then use the moving average model to recorrect the outliers and absent. Make correlation analysis on muti-direction flow queues of the intersection and ones of upriver intersections, choose flow queue with high correlation as assistant one to improve the error tolerance of the prediction system, at the same time we can use the method to give an estimation of flow in intersection with out sensors. We design and implement an SOA(Service-Oriented Architecture)-based UTDD(urban traffic data mining development) with high expansibility and performance, which implement unified management and call of the data-mining application though defining a XML-based description of data-mining process and a common interface to call data-mining process, finally we build traffic flow prediction application model on UTDD.

根据交通流量数据分布的特征，提出基于k-means的二次聚类方法，对交通流量在流量大小和时间上进行模式划分，进而对各个交通流模式进行基于BP神经网络的描述和预测，从而提高模型对流量预测的精度； 2）根据流量/时间占有率倒&V&字形曲线分布模型，提出基于最小二乘法的三次多项式曲线拟合和统计方法的异常检测方法，实际应用表明该方法能够有效识别异常数据，然后根据移动平均算法对异常数据进行修正； 3）基于序列相关性分析，分别对预测方向的交通流量数据序列、上游路口相关序列以及预测路口其它各个方向上的交通流量序列进行分析，选择相似性流量序列，作为辅助序列提供其他没有检测器路口的流量估计； 4）设计和实现了基于SOA（Service-Oriented Achitecture）的高性能、可扩展的智能交通数据挖掘系统UTDD，该系统通过定义基于XML的数据挖掘过程描述和通用的过程模型接口，实现数据挖掘应用的统一管理和调用，最后在UTDD上建立了基于路口流量预测的应用模型。

Lastly, the paper presents the fractional differenced noise model and the autoregressive fractional integrated moving average model.

接着给出能描述长记忆性的分数差分噪声模型和分整自回归移动平均模型。

Then the paper presents the fractional differenced noise model and the autoregressive fractional integrated moving average model. It compared traditional time series models with ARFIMA model.

接着介绍了能描述长记忆性的分数差分噪声模型和分整自回归移动平均模型，并将传统时间序列模型和ARFIMA模型进行比较。

Then the self-recurrent neural network structure, one kind of simplified structure of internal recurrent network, and the leaming algorithm, dynamic backpropogation algorithm of self-recurrent neural network, is proposed.

本文将神经网络作为传统的线性模型的非线性推广进行了分析，证实了多层前向神经网络与非线性自回归模型的等价意义，及带有反馈的循环神经网络与非线性自回归移动平均模型的等价意义。

与移动平均模型相关的网络解释 [注：此内容来源于网络，仅供参考]

autoregression：自回归

单位根检验方程为:Box和Jenkins于1976年提出了单整自回归移动平均(ARIMA)模型,ARIMA(p,d,q)实际上包括了自回归(Autoregression)、单整(Integration)、移动平均(Moving-average)三方面的内容.

Autoregressive fractionally integrated moving average (ARIFMA) model：部份整合型自我迴歸移動平均模型

自我回归条件异质变异数模型 Autoregressive conditi... | 部份整合型自我回归移动平均模型 Autoregressive fractionally integrated moving average (ARIFMA) model | 整合型自我回归移动平均模型 Autoregressive in...

Maximum likelihood method：极大似然法

这种原则的一个表现就是,在进行短期预算收入预测时一般设定自回归和移动平均(ARIMA)关系,通过极大似然法(maximum likelihood method)技术进行估计;在进行中长期预算收入预测时一般设定结构模型,并通过协整(cointegration)技术进行估计,

model of moving means：移动平均模型

model 模型 | model of moving means 移动平均模型 | model test 模型试验

exponentially-weighted moving average：指数平滑法

移动平均法 moving average | 指数平滑法 exponentially weighted moving average | ARIMA模型 auto regressive integrated moving average Model

BP Barometric Pressure：大气压

Box-Jenkins model博克思一詹金斯法~一种时间序列预测方法,又称自回归移动平均模型. | BP barometric pressure大气压 | BP bunkering pert加油港