Time Series Forecast Model 时间序列预测模型
nonlinear time series forecast 非线性时间序列预报
hydrological time series forecast 水文时间序列预报
displacement time series forecast 位移时间序列预测
time-series flat forecast 时间序列平滑预测法
Economic forecast and Time series 经济预测与时间序列
RBF neural network is applied to time series forecast with the same data in order to compare the forecast effect with LS-SVM model.
最小二乘支持向量机回归预测对训练样本数据区间内的预测精度很高，但是对前向外推预测效果不是很好；
One of the current forecast methods is time series forecast which constructs models according to the historical data before using it to forecast the future.
时间序列预测是预测领域内的一个重要研究方向，时间序列预测是一种根据历史数据构造时间序列模型，再把模型外推来预测未来的一种方法。
This means is fit for the time series forecast which difficult to judge the time series typical character. It don't need cost much time to search explaining variable as regression analysis.
该方法适合于对时间序列的典型特征难以做出判断的时间序列的预测，而且它也无需像回归分析中必须花费很多时间寻找解释变量。
应用推荐