时间序列预测法

巴州北部山区汛期降水趋势的时间序列预测法

Predicting the Tendency of Precipitation with Time Series Method in Northern Mountain Area

基于最小误差估计的综合时间序列预测法及其应用

Integrated Time Series Forecasting Method Based on Minimum Error Estimation and Its Application

综合分析用水量预测方法和各种预测模型的优缺点，针对解释性预测法和时间序列预测法建模难的问题，研究建立基于BP神经网络的解释性预测模型和时间序列预测模型；

Synthetically analyze and compare the methods and models of water consumption forecasting firstly , to explore the merits and setbacks of them . For regression model and time series model have difficulties in equations formulation , developing them based on BP neural network are studied .

在需求预测中系统介绍了定性预测方法、时间序列预测法和因果预测法。

In needing forecast , it included define forecast and time series forecast and causal relationship forecast .

运用时间序列预测法对环渤海地区主要航线的客（车）运量进行了预测；

The prediction was made in the volume of ferry in main routes by Time Sequence Prediction method .

平稳随机时间序列预测法在防治棉蚜和棉铃虫上的应用

Application of the Method of Prediction of Stationary Random Time Series on Control of the Cotton Aphid and Cotton Bollworm

时间序列预测法在各种基于时态数据库的计算中有着广泛的应用前景。

The time series prediction methods have extensive application future in many kinds of computations based on the tense databases .

旅游市场需求预测常见的方法有：时间序列预测法和因果模型预测法。

Common forecasting method of travel demand is based on the mathematical model : statistical time series prediction method and causal model prediction .

将小波分析理论、灰色预测理论和时间序列预测法组合进行需水量的预测，为原始非平稳时间序列的预测应用拓展了空间。

The space of prediction and application of non-stationary time series were expanded through the combined model of wavelet analysis , gray and time series prediction methods .

其次，分析了当前常用的几种交通事故预测方法，包括回归分析法、时间序列预测法、灰色预测、神经网络预测等；

Secondly , some prevalent theories for accident prediction are presented , such as regression analysis , time serial prediction , gray prediction and neural network prediction , etc.

移动平均法是一种时间序列预测法，当时间序列没有明显的趋势变动时，使用移动平均就能够准确地反映实际情况。

Moving average method is one of time series forecasting method , if time series have no apparent tendency moving , using moving average method can accurately reflect actual situation .

以时间序列预测法中的趋势外推法为主要研究方法，研究了基于决策支持系统的预测模型和敏捷虚拟企业制造资源的优化配置。

This paper chiefly adopts the tendency extrapolation of time series , studies the optimization of forecasting model based on decision supporting system and the agile virtual enterprise manufacture resources .

因此，本文利用时间序列预测法构建了单位面积产量的预测模型以及生产与消费的相关关系，以供棉农参考，规避决策风险。

In this dissertation , forecast model of yield and relationship of production and consumption were put forward by time sequence forecast methods , so as to provide references for cotton farmers , averse the risk of decision-making .

本文以时间序列预测法中的趋势外推法为主要研究方法，研究了基于决策支持系统的预测模型，该方法对于决策支持系统的成本预测有着重要的参考价值。

The Forecast model based on the design support system is studied in this paper using the trend extrapolating means of the time sequence forecast as the main research means . It 's worth being consulted in the searching of cost forecast in the design support system .

小白菜花叶病时间序列分析预测法

Application of time series analysis to chinese-small-cabbage mosaic disease epidemics

时间变动序列预测法的实际运用

The time change sequence pre-measurement reality utilizes

在旅游人数的预测中，本文采用了时间序列分析预测法对其做了初步的研究。

During the forecasting of tourist number , this article elementarily researches it using the forecasting method of time-sequence analysis .

本文采用趋势外推预测法和时间序列分析预测法对新疆县域经济发展水平的绝对差异和相对差异的变化趋势进行了预测。

This paper adopts the prediction models to forecast the change trend of regional economic absolute difference and relative difference among counties in Xinjiang .

接着介绍了应用于铁路客运量预测的三种单一预测方法：多元线性回归分析预测法、时间序列分析预测法以及支持向量机回归分析预测法。

And then introduced three single forecasting methods used in railway passenger volume prediction : multiple regression analysis prediction , time series prediction , support vector machine regression analysis .

多变量时间序列的邻域预测法

Time Series Prediction by Multivariate Next Neighbor Methods

基于时间序列信息分离预测法的大型旋转艇体温度动态测试研究

Study on Dynamic Temperature Measurement of Large Circumrotating Hull Base on Forecast Using Time Serial Message Separating

然后利用混沌时间序列的全域预测法对历年来的数据进行建模预测分析，计算得到了预测模型以及预测值，结果表明，预测数据和实际值误差较小。

Then by using the whole domain method of chaos time serial method to analyze and create a forecast model , the prediction value is calculated . The result shows that the error between the prediction data and the real value is small .

混沌时间序列局域零阶预测法性能比较

Performance Comparison of Local Zero-Order Predictive Methods for Chaotic Time Series

最后，对文中分析的预测方法如回归分析法、时间序列法、组合预测法等进行算法设计，形成预测方法库，完成预测系统的设计和实现。

At last , program these methods , finally design and realize the forecast system .

运用时间序列法和回归预测法，建立了贵州省人口，国民生产总值及三大产业的预测模型。

Using the time-sequence mean and the regression forecast mean , it was established that the forecast model of population , GDP and the three major industries .

针对混沌时间序列的最近邻域预测法，提出了改进的最近邻域点优化选择方法和加权一阶局域线性预测法。

Optimal choice method of the nearest neighboring points and adding weight one - rank local region method is introduced on the nearest neighboring forecasting method of chaotic time series .

总结和分析了目前流行的电力系统短期负荷非线性预测方法，包括时间序列法、组合预测法、神经网络法、小波法和支持向量法。

Some recently popular non-linear forecast methods of short-term electric power load , including time series method , combining forecast method , nerve network method , wavelet method , and support vector method ( SVM ), were summarized and analyzed .

最后，针对电力负荷时间序列的预测，本文对几种混沌时间序列预测方法的理论分析和对比，提出了选用基于RBF神经网络的混沌时间序列预测法。

The chaotic time series forecasting method based on RBF neural network are proposed . The given power load time series are the power load records of a city in China .