1) flood classified prediction
洪水分类预测
3) The floods classification forecast
洪水的分类预报
4) flood forecasting
洪水预测
1.
The method will provide a new idea for long-term flood forecasting.
此方法为长期洪水预测提供了一种新的思路。
2.
【Objective】 The study was to establish a better flow of the flood forecasting model.
【结论】将混沌理论和径向基神经网络结合建立预测模型,作为提高洪水预报精度的一种新尝试,对以后进行洪水预测研究具有一定的参考价值。
3.
As for the inadequate of BP neural network,PSO algorithm is used for its optimization,thus creating a hybrid neural network model for flood forecasting.
针对BP神经网络的不足,采用PSO算法对BP神经网络进行优化,建立一个混合的神经网络洪水预测模型。
5) flood prediction
洪水预测
1.
Study of flood prediction based on multi-evidential fusion model;
基于多证据融合模型的洪水预测研究
2.
River engineering model and flood prediction at Lanzhou section of the Yellow River;
黄河兰州段河工模型及洪水预测
3.
The model solves these problems such as high complexity of algorithms and low accuracy rate of classifications lie in the flood prediction using single models.
解决了单一模型洪水预测问题存在的算法复杂度高,分类准确率低等问题。
6) flood forecast
洪水预测
1.
Application research of neural network in flood forecast;
神经网络在洪水预测中的应用研究
补充资料：河道洪水演进(见河道洪水演算法)
河道洪水演进(见河道洪水演算法)
neaao non郎hUi河道洪水演进yanJ县n 见河道洪水演算法。
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