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1)  logistic-svm combination forcasting
logistic-svm组合预测
2)  SVM Traffic Volume Forecasting
SVM运量预测
3)  SVM predictive control
SVM预测控制
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。
  
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