1) ensemble forecasting
集成预测
1.
By using RBF artificial neural network(ANN),an ensemble forecasting model for the data of regional climate simulation experiments from MM5V3 s sixteen combinatorial schemes is established.
这些结果对于区域气候的集成预测以及进一步优化神经网络的性能有一定的参考意义。
2) integrated predictive model
集成预测模型
1.
To deal with the problem of the permeability control for the lead zinc sintering process,a permeability optimization control method for the sintering process based on integrated predictive model and traversing search algorithm is presented in this paper.
以铅锌烧结过程为研究对象,针对烧结过程透气性的控制问题,提出了基于集成预测模型与遍历优化搜索算法的铅锌烧结透气性优化控制方法。
3) ensemble seasonal climate prediction
集成气候预测
4) Integrated system for forecasting offshore oil and gas resources
海洋油气预测集成系统
5) synthetic projection model
综合集成预测模型
6) intelligent integrated-prediction model
智能集成预测模型
1.
An intelligent integrated-prediction model for components of Pb-Zn agglomerate based on the process neural network(PNN)and the improved grey system(IGS)
基于PNN和IGS的铅锌烧结块成分智能集成预测模型
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