1) logistic-svm combination forcasting
logistic-svm组合预测
2) SVM Traffic Volume Forecasting
SVM运量预测
4) SVM-Logistic Regression
SVM-Logistic回归
5) Logistic-ARIMA coupling model
Logistic-ARIMA耦合预测模型
1.
They were fitted by means of Logistic curve function and ARIMA model,respectively,and both of the forecast values were accumulated so as to establish Logistic-ARIMA coupling model for forecast of demand of urban water resources.
将城区用水量的非平稳时序分解为趋势项和残差项两部分,对趋势项用Logistic成长曲线函数拟合,对残差项用ARIMA模型拟合,再将两者预测值进行叠加,建立城市水资源需求量预测Logistic-ARIMA耦合预测模型。
6) Logistic forecast model
Logistic预测模型
补充资料:发育进度预测法(见发生期预测)
发育进度预测法(见发生期预测)
发育进度预测法见发生期预测。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条