1) intelligent forecasting mode
智能预报模式
1.
Recently,there has been a growing interest in combing all these approaches,and then,in this paper,the author organically synthesizes fuzzy optimal selection,BP neural network and genetic algorithm and establishes intelligent forecasting mode and method.
建立了以模糊优选、BP神经网络及遗传算法有机结合的智能预报模式与方法。
3) intelligent forecast
智能预报
1.
Then,the intelligent forecast scheme of queue length is proposed,which can directly pre.
仿真实验表明,基于单率多点广播数据流的层次广播树拓扑的潜在瓶颈链路进行智能预报方案是有效的。
2.
Then, the intelligent forecast scheme of queue length is proposed, which can directl.
仿真实验表明, 基于单率多点广播数据流的层次广播树拓扑的潜在瓶颈链路进行智能预报方案是有效的。
4) prediction mode
预报模式
1.
Three kinds of main weather systems of air quality are outlined on the basis of meteorological materials of ground;the prediction mode of the concentration of pollutants in different seasons has been set up.
分析了庆阳市空气污染物的特征,得出总悬浮微粒影响最大,污染最严重的是春季;总结了影响空气质量的3种主要天气系统,利用地面气象资料,建立了不同季节污染浓度预报模式,并制作了城市空气质量预报业务系统,预报效果较好。
5) prediction model
预报模式
1.
Analysis on chaos phase space prediction model in deformed system
变形系统中混沌相空间预报模式分析
2.
Basing on the three dimentional model and starting from advection diffusion equation, a prediction model for concentration field is set up.
在此基础上，从平流扩散方程出发，建立了一个与上述流场相应的浓度场预报模式。
6) Forecast Model
预报模式
1.
It is confirmed that SVM method is not need to classify weather types and the effect of forecast model being established is better on many samples.
并与传统的天气分型后制作预报模式进行了比较,验证了SVM方法不需要进行天气分型,这样总样本数多,建立的预报模型效果好。
2.
The four-dimensional data assimilation is to integrate the current and past data into a forecast model equation for providing time continuity and dynamic coupling.
从目前经常应用的四维资料同化方法出发 ,详细分析了它们的特点和今后四维资料同化方法在预报模式中的应用前景。
补充资料：短期天气预报(见天气预报和天气图预报)
短期天气预报(见天气预报和天气图预报)
u。。，，，:‘，anq，yubao短期天气预报见关匀布绍升，二，二一一
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