运用时间序列法对未来几年的产量进行预测。
Finally, we use time series method to predict the output of the next few years.
提出用起伏型时间序列法对数字图书馆图书流量进行动态分析。
The Analysis of wave type time series is a new method, which is used to simulate the data of the digital library book flow in a university library in the paper.
传统方法中主要有时间序列法、多元线性回归法及傅立叶展开法等。
Basically, the traditional way may involve method of time series, multi-linear regression and the Fourier expansion, etc.
回归分析法、弹性系数法、时间序列法等是市场预测中常用的方法。
Regression analysis law , Resilience factor law , The time queue law awaits the means being in common use in the market forecast.
青藏铁路大风监测预警系统采用时间序列法实现沿线风速的短时预测。
Time series method is adopted for building the strong wind monitoring and warning system of Qinghai-Tibet Railway to realize the short-term forecast of the wind speed along the line.
第四章运用时间序列法对国内加油机市场未来五年的市场容量进行预测。
In chapter four, time sequence method was used to forecast the market capacity of domestic dispenser industry in coming five years.
应用时间序列法对厦门城市日供水量进行预测和误差分析，具有较强的实用价值。
The time sequence method which is quite valuable for use, is applied to the forecast and error analysis of daily water supply amount in Xiamen City.
时间序列法是用水量预测的常用方法，其中预测模型的选择是提高预测精度的关键。
The time series method is one of common methods for forecasting water consumption. The prediction accuracy on water consumption can be guaranteed by the selection of forecast models.
结果表明，浪高时间序列存在混沌现象，混沌时间序列法可应用于海浪预报的研究。
Results show that wave amplitude series have chaotic characteristic and chaos time series is feasible to be applied in wave forecast study.
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。
First, it introduces time series analysis principle. Then, heating load and model error prediction are given by this principle.
模糊时间序列法不同于经典时间预测之处在于其引入了隶属函数的概念，在序列的预测演算中起到重要作用。
The fuzzy time series forecasting differ from classic time series forecasting is lead in the conception, named membership function which contribute much to figure the method.
由历史数据推测未来趋势的众多方法中较突出的有：时间序列法、最小平方法、指数平滑法、回归分析和相关分析。
Prominent among the various techniques that can help to extrapolate past date into future trends are the following:time series, least squares method, exponential smoothing, regression and correlation.
并且分析了现有的一些石油需求预测方法，这些方法包括：时间序列法、人工神经网络方法、灰色系统法、弹性系数法等。
And some existing methods of oil demand forecast are analyzed, such as Time Series Analysis, Artificial Neural Network method, Gray System method and Consumption elasticity coefficient method.
径流中长期预报一直以来都是人们关注的热点研究问题，常用的时间序列法、多元回归分析法等都存在预报精度偏差过大的问题。
There are many methods for medium- and long-term runoff forecasting, such as time series, multiple linear regression and so on, which often have deviation in forecasting precision.
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。
Two kinds of models are derived; load prediction model based on building model recognition and load prediction model based on time series analysis.
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.
灰色系统预测法对时间序列的预测有较高的精度。
The grey system has a high precision for the time series prediction.
结论：可以利用指数平滑法对霜霉病一维时间序列进行预测。
Conclusion: The exponential smoothing method could be employed to forecast a time series of one dimension for cucumber downy disease.
以非线性动力学理论中的相空间重构理论为基础，利用延时法对水下噪声时间序列信号进行了相空间重构。
Time delay method was used to reconstruct the phase space of underwater noise time series based on nonlinear dynamics theory.
通过现场量测的深基坑围护结构变形信息资料，对数据进行整理和分析，利用时间序列分析法对支护结构的变形作出预测，以保证基坑安全施工。
Through analyzing the field deformation data of supporting structures, the prediction can be gained by time series model so as to guarantee the safety.
本文提出用于电力系统发电规划和输电规划负荷预测的时间序列分析法。
The time series analysis is proposed for load forecasting of power-generating and power transmission programming in power systems.
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.
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.
以水均衡方程为基础，应用时间序列分析法，建立系统管理模型，对地下水资源系统进行系统运行控制、预测和管理。
Systematic management model is set up by time series analytic method based on water balance equation to control, predict and manage groundwater resources system.
替代数据检验法是检验时间序列中是否存在确定性非线性成分的重要统计方法。
In the analysis of time series, the surrogate data test is often performed in order to investigate nonlinearity in the data.
实例研究表明，应用时间序列分析法模拟地下水资源系统，进行地下水资源评价和系统管理简单、易行、省时、省力。
The case study shows that the time series analysis method is an effective and practical one for groundwater resources evaluation and system management.
时间序列分析法已成功地用于结构的参数识别。
Time series analysis techniques have been successfully used in the parameter identification of structures.
时间序列分析法已成功地用于结构的参数识别。
Time series analysis techniques have been successfully used in the parameter identification of structures.
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