prediction of time series

A New Meth a d for Prediction of Time series

一个时间序列预报的新方法

In this paper, the application of a sequential learning radial basis function is presented for accurate real-time prediction of hydrometeorological time series.

本文利用序贯学习的径向基函数神经网络对水文气象时间序列进行精确实时预测。

A novel method of time series prediction based on chaotic operators was proposed.

为解决时间序列的一步预测问题，提出了一种基于混沌算子的预测网络。

Time Series Prediction of High Building Deformation Based on Support Vector Machines

基于SVM的高层建筑变形的时间序列预测

There are a lot of time sequence model of non-stationary time series, first difference to eliminate the trend, meet the stable condition after modeling, namely ARIMA model, this paper finally selected as ARIMA model on TEC value prediction.

时间序列有很多的模型，对非平稳时间序列需先进行差分消除其趋势，满足平稳条件后再进行建模，即ARIMA模型，由于本文最后选定ARIMA模型对TEC值进行预测。

Based on achievement of comprehensive time series forecasting and neural network prediction, the paper proposed price forecasting model of mixed time series based on support vector machines.

通过综合时序预测和神经网络预测的研究成果，提出基于改进支持向量机的时序混合电价预测模型。

A Research on Method and Application of Neural Networks for Time Series Prediction

非线性时间序列预测的前馈网络方法及应用

The application of a time series prediction method to two-dimensional FDTD method

一种时间序列预测方法在二维时域有限差分法中的应用

On the above basis, according to the statistic data time series of historical disaster losses and by using SPSS software to fit the Fourier series general model, this study will obtain the fitting equation of disaster prediction model.

在此基础之上，根据历史灾情损失的时间序列统计数据，运用spss软件对傅里叶级数一般模型进行拟合，从而得到灾情预测模型的拟合方程。

A Study of Time Series Prediction Method in Heat Supply Control

时间序列预报法在供热控制中的应用研究

Application of optimal dimension modeling for BP network in prediction of time series of deformation

BP网络最佳维数建模法在变形时序预测中的应用