1) Prediction set
预测集
2) 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。
3) ensemble prediction
集合预测
4) Reservoir prediction
储集层预测
1.
Palaeo-geomorphology analysis for the Paleogene reservoir prediction in Bohai Sea area;
古地貌分析在渤海古近系储集层预测中的应用
2.
Application of high-resolution sequence stratigraphy in improving the precision of reservoir prediction
高分辨率层序地层学在提高储集层预测精度中的应用
3.
It is always challenging to use geophysical technology options in reservoir prediction.
在储集层预测中如何有效运用地球物理技术,是储集层预测中所面临的难题。
5) central Asia
矿集区预测
1.
In case study of metallogenic district mapping of Central Asia,the ESDA method is applied by co.
随着地理信息科学和计算机技术的发展,计算环境下矿集区预测方法的研究热潮也初现端倪。
6) minimal prediction set
最小预测集
1.
For reducing the spaces of rule database and facilitating users to query,the minimal prediction set is used and mined using maximum frequent item sets which are found by a set-enumeration tree.
为缩减关联规则存储空间和方便查询关联规则,提出一种前件为单一项目的最小预测集算法。
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